Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Heidelberg University
- GFZ Helmholtz-Zentrum für Geoforschung
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Carl von Ossietzky Universität Oldenburg
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Friedrich Schiller University Jena
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Max Planck Institute for Astronomy, Arua, Uganda
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Infection Biology, Berlin
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Universitaetsklinikum Erlangen
- University of Greifswald
- University of Tübingen
- Universität Regensburg
- WIAS Berlin
- 14 more »
- « less
-
Field
-
biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
-
machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. Experience with normative modelling is an advantage. Proficiency in Python (and ideally C/C
-
reinforcement learning Proficiency in programming (C++, Python), and experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Strong project management and mentoring skills Excellent command
-
Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data Solid understanding of RNA biology, transcriptomics and epitranscriptomics Desirable skills: Experience
-
software programming in C++/Python, ROS and MATLAB. Excellent command of English; German language skills are a plus. High motivation and the ability to work independently as well as within an international
-
proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary
-
candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
-
project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
-
, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational, interpersonal and communication skills The ability to work in
-
related field PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks) Background in