Postdoctoral Researcher in Computer Science
University of Tubingen Department of Computer Science
Germany

Postdoctoral Researcher (m/f/d; E13 TV-L, 100%)

Faculty of Science, Department of Computer Science

Application deadline : 15.11.2020

The Computational Epigenomics Group, led by Dr. Gabriele Schweikert at the University of Tübingen’s Department of Computer Science, is currently seeking an enthusiastic

Postdoctoral Researcher (m/f/d; E13 TV-L, 100%)
with a strong Machine Learning background and keen interest in Biology

to join us to address some of the major challenges in computational biology.

The Computational Epigenomics Group, established in 2018 by Dr. Gabriele Schweikert, is part of the vibrant and rapidly growing Cyber Valley AI community around the University of Tübingen and the MPI for Intelligent Systems. The group is interested in advancing the field of computational biology by applying and developing state-of-the-art Machine Learning algorithms to solve unique challenges arising in this application domain. Of particular interest are complex biological processes underpinning epigenomic mechanisms of gene regulation, their roles during neuronal development and differentiation and their misfunction in disease, e.g. tumorigenesis. The group has a second leg within the School of Life Sciences at the University of Dundee, Scotland, and a generous UKRI Future Leader Fellowship will allow us to generate unique experimental data sets which are optimally designed to answer mechanistic questions using advanced Machine Learning technology. We have a unique combination of expertise that spans large-scale data analysis, applied bioinformatics and deep learning. In addition to this, we collaborate with domain experts from the biomedical sciences.

The successful candidate will work on Machine Learning challenges stemming from applications to genomic, epigenomic and microscopic imaging data. You will be leading projects and collaborating with other researchers from different disciplines. You will have the possibility to participate in basic, translational science that brings your novel Machine Learning techniques into impactful biomedical applications. Areas of interest include, but are not limited to causal inference, representation learning, model interpretability, deep learning, time-series modelling, multiview learning, NLP.

You should have a Ph.D. in Machine Learning or related fields and demonstrated your research ability by journal and conference publications. Experience in working on medical or biological data is not a requirement, but you must bring a keen interest in the field. The fixed-term employment contract will have an end date of 31st May 2022. We would like you to start as soon as possible.

We look forward to receiving your application including a research statement, CV and a cover letter listing names of at least three referees until November 15, 2020.

In case of equal qualification and experience, physically challenged applicants are given preference. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply. The selected candidate will be employed by the central administration of the University of Tübingen.

Please send inquiries about the lab and possible projects as well as applications by email to G.Schweikertspam prevention@uni.tuebingen.de.


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