The Clinical Bioinformatics group at the University Hospital/University of Tübingen invites applications for several
Postdoctoral position (TV-L E13, 100%) and PhD positions (TV-L E13, 65%) - Machine Learning in Translational Single Cell Biology
to be filled as soon as possible. Each position is initially limited to three years.
The available positions focus on projects developing and applying machine learning methodology to high dimensional, spatial proteomic/transcriptomic single-cell data in translational research in oncology, immunology and infectiology.
The ideal candidate brings along a degree that demonstrates an interdisciplinary background in both life and formal sciences. While a background cancer-/immune biology and single cell proteomic/transcriptomic experiments are a plus, a solid background in mathematics, statistics, machine learning and programming is required to carry out the planned algorithm developments and data analysis.
We are looking for a highly motivated candidate with excellent communication skills that is capable of working in an interdisciplinary environment and can team up with scientists for experimental as well as computational analysis. The candidate should have a high degree of initiative. We offer work in a highly stimulating environment with state-of-the-art infrastructure, providing the successful applicant with unique opportunities to develop a strong interdisciplinary portfolio in both experimental and computational biology.
For further information about the position, please contact Manfred Claassen by e-mail, manfred.claassen, and @med.uni-tuebingen.devisit our website. Applications with a motivation letter, full CV, diploma(s) and two contacts for further references should be sent online to manfred.claassen. @med.uni-tuebingen.de
The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Disabled persons with equal aptitude will be given preferential consideration.
The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen invites applications for a
to be filled as soon as possible. The position is limited to three years.
We are looking for a young scientist with a very good university degree in physics or mathematics with an affinity to computer science and machine learning interested in an interdisciplinary research project.
In the project, equation learning networks shall be developed for applications in statistical physics (classical density functionals for fluids with directional interactions).
Principal investigators are Georg Martius and Martin Oettel.
The PhD position is fully funded (Salary level TV-L E13, 65%).
Applications with the usual documents (letter of motivation, curriculum vitae, copies of certificates, publication list) should be sent in electronic form (as a single PDF, at most 5 MB) to martin.oettel. Enquiries can be sent to @uni-tuebingen.demartin.oettel and @uni-tuebingen.degeorg.martius. @tuebingen.mpg.de
The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Severely disabled persons with equal aptitude will be given preferential consideration.