Faculty of Science

Research at the Faculty of Science

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Research Foci

Artificial Intelligence and Machine Learning

Astro and Particle Physics

Cell and Molecular Biology of Eukaryotes

Geo and Environmental Research

Human Evolution and Scientific Archaeology

Microbiology and Infection Research

Neuro and Cognitive Sciences

Quantum Science

Research associations (selection)

Cluster of Excellence CMFI
Cluster of Excellence iFIT
Cluster of Excellence ML

Collaborative Research Centers

Spokesperson function in the Faculty of Science

  • 2014 - 2025 SFB 1101 "Molecular Encoding of Specificity in Plant Processes“
  • 2017 - 2024 SFB 1233 "Robust Vision“  

Principal Investigator in the Faculty of Science

  • 2024 - 2027 SFB 1629 "Negation in Language and Beyond"
  • 2023 - 2026 SFB 1573 "4f for Future"
  • 2016 - 2027 SFB 1177 "Molecular and Functional Characterization of Selective Autophagy"
  • 2015 - 2027 SFB 1173 "Wave Phenomena: Analysis and Numerics"
  • 2013 - 2025 SFB 1089 "Synaptic Micronetworks in Health and Disease"
  • 2013 - 2025 SFB 1070 "RessourceCultures"

Transregional Collaborative Research Centers

Spokesperson function in the Faculty of Science

  • 2023 - 2026 TRR 356 "PlantMicrobe"
  • 2023 - 2026 TRR 352 "Mathematics of Many-Body Quantum Systems and Their Collective Phenomena"
  • 2019 - 2024 TRR 261 "Cellular Mechanisms of Antibiotic Action and Production" 

Principal Investigator in the Faculty of Science

  • 2019 - 2026 TRR 248 "Foundations of Perspicuous Software Systems"
  • 2017 - 2024 TRR 195 "Symbolic Tools in Mathematics and their Application"

Research Units

  • 2023 - 2027 Prof. Dr. Tobias Lachenmaier: FOR 5519 "Precision Neutrino Physics in JUNO"
  • 2022 - 2026 Prof. Dr. Igor Lesanovsky: FOR 5413 "Long-range interacting quantum spin systems out of equilibrium: Experiment, theory and mathematics"
  • 2020 - 2026 Prof. Dr. Barbara Kaup: FOR 2718 "Modal and amodal cognition: Functions and interactions"
  • 2019 - 2024 Prof. Dr. Karl Forchhammer: FOR 2816 "The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers"

Research Training Groups

Spokesperson function in the Faculty of Science

  • 2020 - 2028 Prof. Dr. Robert Feil: GRK 2381 "cGMP: From Bedside to Bench“
  • 2018 - 2027 Prof. Dr. Doron Rapaport: GRK 2364 "The multifaceted functions and dynamics of the mitochondrial outer membrane" 

with project management in the Faculty of Science

  • 2017 - 2026 Prof. Dr. Mandy Hütter and Prof. Dr. Rolf Ulrich: GRK 2277 "Statistical Modeling in Psychology” (SMiP)"

RDM for the Natural Sciences

­

Research data management (RDM) methods, tools and procedures can differ depending on the scientific discipline. Different types of data require different solutions. Each subject area has its own standards or recommendations based on the requirements of the specific data and research processes.

The following information has therefore been compiled specifically for researchers in natural sciences.

Core Facilities

for the Natural Sciences

Core Facilities offer overarching yet subject-specific and individual counseling on the topic of RDM and therefore are recommended as a first point of contact:

QBiC

The Quantitative Biology Center (QBiC) provides consultation for natural and life scientists on the management of their specific research data. The Core Facility also offers various services, e.g. generating and analyzing high-throughput data and has specialized in bioinformatics and omics technologies.

QBiC
supportspam prevention@qbic.zendesk.com
+49 7071 29-82530

LISA+

The Center for Light-Matter Interaction, Sensors and Analytics (LISA+) consists of a multidisciplinary nano-structuring and analysis laboratory of the departments of physics, chemistry, geosciences, biology and medical materials science. LISA+ offers various technologies as well as methods and provides consultation on planning, utilization and knowledge transfer - also in the area of research data management within the natural sciences.

LISA+
infospam prevention@lisaplus.uni-tuebingen.de
+49 7071 29-76260

TSM

Tübingen Structural Microscopy (TSM) specializes in the geosciences, life sciences and material sciences. The Core Facility offers (cryo)electron microscopy and thus expands the services of the Network Electron Microscopy Tübingen (NET). Services range from sample preparation, instrument operation and imaging to interpretation and analysis. Training formats and consultation are offered as well, also for research data management.

TSM
stefan.fischerspam prevention@tsm.uni-tuebingen.de
+49 7071 29-78929

NFDI Consortia

for the Natural Sciences

NFDI consortia offer subject-specific services and information on the topic of RDM. They are suitable contacts for additional, discipline-specific consultation:

With Tübingen Participation

DAPHNE4NFDI

DAPHNE4NFDI is a consortium for data from photon and neutron experiments. The offerings and services are therefore tailored to researchers in physics and chemistry, but may also be suitable for the fields of catalysis, life sciences, materials science and archaeology.

More about the consortium

NFDI4Earth

The focus of the NFDI4Earth consortium is on earth system research. Researchers in the geosciences and related disciplines can find support here for questions relating to research data management.

More about the consortium

NFDI4Objects

NFDI4Objects combines the humanities with the natural sciences through its focus on archaeology. All disciplines conducting research in the field of material remains of human history will find expert contacts there.

More about the consortium

Further Consortia

FAIRmat

The FAIRmat consortium focuses on physics, more specifically on the chemical physics of solid substances and condensed matter physics. However, services in the areas of synthesis, experimentation, theory and simulations may also be of interest to other disciplines within chemistry or engineering.

More about the consortium

PUNCH4NFDI

Within physics, PUNCH4NFDI focuses on the fields of particle physics, astroparticle physics, hadron and nuclear physics as well as astronomy. The consortium offers services and expertise for the often extensive amounts of data generated in these disciplines.

More about the consortium

MaRDI

MaRDI stands for Mathematical Research Data Initiative. The consortium offers services in the field of RDM for mathematical research and all disciplines that use mathematics within the research process. Mathematical research data can be, for example, databases, mathematical objects, aspects of scientific computing, models, algorithms or data from statistical analyses.

More about the consortium

NFDI4Biodiversity

The NFDI4Biodiversity consortium focuses on research data in biology, ecology and biodiversity research. Biodiversity encompasses genotypic, phenotypic and functional diversity as well as the interaction of species, populations and ecosystems.

More about the consortium

NFDI4Cat

Catalysis research and catalysis-related sciences such as chemical engineering and process engineering will find suitable advice at NFDI4Cat. As catalysis is interdisciplinary and has high practical relevance, the consortium bundles various disciplines and services.

More about the consortium

NFDI4Chem

The NFDI4Chem consortium focuses on all subject areas within chemistry. Researchers in scientific disciplines related to chemistry will find advice and services on research data management here.

More about the consortium

NFDI4DataScience

NFDI4DataScience focuses on research data in data science and artificial intelligence (AI). As these research areas affect different disciplines, the consortium is initially concentrating on the fields of language technology, biomedical research, information sciences and social sciences.

More about the consortium

NFDIxCS

NFDIxCS serves the research field of computer science and thus offers a contact point for all computer science disciplines. Researchers within these disciplines can find advice and services on research data management here.

More about the consortium

More information on the topic NFDI   

Research Projects on RDM

within the Natural Sciences

RDM structures and services have been and are being developed and used in numerous research projects. The following projects involve and have involved researchers from Tübingen.
Depending on the nature of your own research data, tools and/or expertise developed within the projects may be helpful for data management:

binAC
Bioinformatics and Astrophysics Research Cluster

The BinAC - Bioinformatics and Astrophysics Research Cluster is part of the bwHPC initiative (High Performance Cloud Computing). BinAC was funded by the DFG and the state of Baden-Württemberg from 2016 to 2021.

The aim of the concept is to provide researchers with optimized HPC resources for their disciplines, consisting of hardware, software and support.

Go to FIT-entry

BioDATEN
Research Data Center

Since 2019, four research data centers have been funded by the state of Baden-Württemberg. Within the data centers, researchers are to work closely with data centers and libraries to enable access to and use of digital data sets.

BioDATEN - Bioinformatics Data Environment is one of these four centers, which was funded from 2019 to 2023. The aim was to support bioinformatics workflows across the entire life cycle of the data. This facilitates access to the various independent infrastructures at regional, national and international level.

INF-Project
TRR 356 PlantMicrobe

Information Management and Information Infrastructure in Collaborative Research Centers (INF) can be applied for as a subproject in Collaborative Research Centers (CRC) or CRC/Transregio (TRR) of the DFG. They serve to develop and implement project-specific data management concepts and to establish and operate the associated infrastructure.

The INF project Virtual Environment for Research Data and Analysis (VERDA) of the TRR 356 - PlantMicrobe is based in the natural and life sciences. The TRR will run from 2023 to 2026.

Go to FIT-entry

INF-Project
CRC 1253 CAMPOS

Information Management and Information Infrastructure in Collaborative Research Centers (INF) can be applied for as a subproject in Collaborative Research Centers (CRC) or CRC/Transregio (TRR) of the DFG. They serve to develop and implement project-specific data management concepts and to establish and operate the associated infrastructure.

The INF project Data Infrastructure and Data Communication Environments of the CRC 1253 - CAMPOS was based in the geosciences. The CRC ran from 2017 to 2021.

Go to FIT-entry

EOSC-Life
Building a Digital Space for the Life Sciences

EOSC-Life - Building a Digital Space for the Life Sciences was an EU-funded project within the natural sciences in the field of biology with a funding period from 2019 to 2023.

The aim was to bring together 13 Europe-wide life sciences research institutions in the European Strategy Forum for Research Infrastructures to create an open, digital, collaborative space for life sciences research.

Go to FIT-entry

de.NBI
German Network for Bioinformatics Infrastructure

de.NBI - German Network for Bioinformatics Infrastructure was a BMBF-funded project within bioinformatics with a funding period from 2014 to 2021.

The aim was to provide bioinformatics services for researchers within the life sciences in Germany and Europe. Since 2022, the de.NBI network has been continued at Forschungszentrum Jülich.

Go to FIT-entry

Further Information

 

Contact

rdmspam prevention@zv.uni-tuebingen.de 
+49 7071 29-75082

Interdisciplinary Research

Core Facilities

Center LISA+

The research and service facility LISA+ is one of the five Core Facilities within the infrastructure of the University of Tübingen. LISA+was founded in 2011 and originates from the intensive cooperation of several research groups for physics, chemistry, geosciences, biology and medical materials science, who are sharing the existing multi disciplinary Nanostructure and Analysis Laboratory.

The facility is centered around the Nanostructure Laboratory, which provides a large variety of techniques and methods, including both, standard methods for sample fabrication & characterization, as well as advanced unique research tools.

The concept of LISA+ is to coordinate the human resources, technical facilities and research topics for:

  1. efficient and professional use of present resources,
  2. coherent planning of sustainable development,
  3. expert training and advice,
  4. optimizing knowledge transfer between users within LISA+ and external partners, incuding industry.
Contact
Instrument Scientists:

Dr. Ronny Löffler
Dr. Markus Turad

info@lisaplus.uni-tuebingen.de
+49 7071 29-76260

Tübingen Structural Microscopy Core Facility (TSM)

Campus Morgenstelle

As one of the five Core Facilities within the infrastructure of the University of Tübingen, Tübingen Structural Microscopy (TSM) coordinates the existing resources in (cryo) electron microscopy of the Departments of Biology and Earth Sciences and the Center for Plant Molecular Biology (ZMBP) at the Campus Morgenstelle. The TSM expands the already existing Network Electron Microscopy Tübingen, which was founded in 2007 as an informal association of 15 working groups.

 

The TSM brings together scientists from the geosciences, life sciences and materials sciences and support them in their research by providing methodological advice and training. This offer includes support starting with sample preparation, through instrument operation and imaging, to image interpretation and analysis. In addition, special courses are offered for the methodological training of young academics.

 

 

Member Labs   Directors board   Instrumentation   Methods   Services   Team   Teaching   Publications

Contact

Dr. Stefan Fischer (Head of TSM Core Facility)

email

+49 7071 29-78929

 

 

Funded by the Federal Ministry of Education and Research (BMBF) and the Baden-Württemberg Ministry of Science as part of the Excellence Strategy of the German Federal and State Governments

 

Quantitative Biology Center

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Dear prospective collaborator,

Welcome to QBiC’s website!
The Quantitative Biology Center (QBiC) is in operation since 2012 as the central unit for bioinformatics and omics technologies of the University of Tübingen, its Medical Faculty and the Max Planck Institute for Developmental Biology. Through partnering with ten on-campus core facilities, we offer services on the full range of omics technologies. The data generation is complemented by integrated bioinformatics analyses, and all high-throughput data is managed centrally. QBiC’s unique privacy-preserving data management concept adheres strictly to the FAIR guidelines and is used as the data management infrastructure for all QBiC projects.

Please take the opportunity to browse our website and get in touch with us to learn more about our services.

We would be pleased to support you in your on-going or upcoming data-driven research projects.

With kind regards,

Dr. Sven Nahnsen
QBiC Director

QBiC Portal

Visit our qPortal!

Contact

Quantitative Biology Center (QBiC)
M3 Research Center
University of Tübingen
Ottfried-Müller-Straße 37
72076 Tübingen

+49 7071-29-82530

support@qbic.
zendesk.com

qbicsoftware

Honours (selection)

Leibniz Prizes

The Gottfried Wilhelm Leibniz Prize, with prize money of up to 2.5 million euros, is Germany’s most important research prize. It is awarded annually by the German Research Foundation (DFG). 

Humboldt Professorships

Alexander von Humboldt Professorships bring top international researchers to German universities. The Humboldt Professorship is the most valuable international research prize awarded in Germany.

ERC-Grants

The European Research Council (ERC) was founded by the European Commission to sponsor basic research. It provides funding to outstanding researchers conducting pioneering work in their fields.

Advanced Grant:

  • 2022 - 2027 Prof. Dr. Katerina Harvati-Papatheodorou (Geosciences): Our First Steps to Europe: Pleistocene Homo sapiens Dispersals, Adaptations and Interactions in South-East Europe (FIRSTSTEPS)

Consolidator Grants:

  • 2024-2029 Prof. Dr. Philipp Hennig (Computer Science): Advanced Numerics for Uncertainty and Bayesian Inference in Science (ANUBIS)
  • 2023 – 2028 Prof. Dr. Jakob Macke (Computer Science): Using Deep Learning to Understand Computations in Neural Circuits with Connectome-constrained Mechanistic Models (DeepCoMechTome)
  • 2023 – 2027 Prof. Dr. Georg Martius (Computer Science): Model-based Reinforcement Learning for Versatile Robots in the Real World (REAL-RL)
  • 2022 – 2027 Prof. Dr. Rosa Lozano Durán (Center for Plant Molecular Biology): Emerging Multifactorial Complexity at the Geminivirus-host Interface (GemOmics)
  • 2021 – 2026 Dr. Sireen El Zaatari (Geosciences): Tracing Hominin Occupations of and Migrations through the Levant: Reviving Paleolithic Research in Lebanon (REVIVE)
  • 2019 – 2024 Prof. Dr. Eric Kemen (Center for Plant Molecular Biology): Knowledge based Design of Complex Synthetic Microbial Communities for Plant Protection (DeCoCt)

Starting Grants

  • 2024 – 2028 Dr. Maria Spyrou (Geosciences): Infectious Disease Outbreaks as Contributors to Socio-cultural Transformations in the 2nd Millenium BCE (PROTOPEST)
  • 2022 – 2026 Prof. Dr. Michael Filarsky (Interfaculty Institute of Biochemistry): Uncovering the Mechanisms Behind Adaptive Gene Expression Switching in Malaria Parasites (MALSWITCH)
  • 2021 – 2025 Dr. Christoph Ratzke (Interfaculty Institute of Microbiology and Infection Medicine): Bugs as Drugs: Understanding Microbial Interaction Networks to Prevent and Treat Infections (BugDrug)
  • 2021 – 2026 Dr. Suayb Üstün (Center for Plant Molecular Biology): Utilizing Diversity to Decipher the Role of Autophagy in Plant-Microbe Interactions (DIVERSIPHAGY)
  • 2020 – 2025 Prof. Dr. Andreas Geiger (Computer Science): Learning Generative 3D Scene Models for Training and Validating Intelligent Systems (LEGO-3D)
  • 2019 – 2024 Prof. Dr. Marcus Scheele (Chemistry): Coupled Organic Inorganic Nanostructures for Fast, Light-Induced Data Processing (COINFLIP)
  • 2019 - 2024 Prof. Dr. Marcello Porta (Mathematical Physics): Macroscopic Behavior of Many-Body Quantum Systems (MaMBoQ)

Emmy Noether Junior Research Groups