46 parallel-processing-bioinformatics-"DIFFER" Postdoctoral positions at Nature Careers in Germany
Sort by
Refine Your Search
-
: Science and teaching Working hours: full-time Contract: TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin
-
expertise in intravital microscopy in the Kiefer Lab at the European Institute for Molecular Imaging. Uncontrolled inflammatory processes are at the basis of many widespread diseases including myocardial
-
qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
-
resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
-
processes here How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two
-
, also German Independent working style combined with high initiative and organizational skills Basic knowledge of bioinformatics would be an advantage Your Benefits An excellent scientific environment
-
, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
-
Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
-
brings together six research groups in Tübingen with complementary expertise in microfluidics, organoid generation, onco-immunology, and bioinformatics. If you’re excited about developing the next
-
of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and