Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- DAAD
- Leibniz
- Nature Careers
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Extraterrestrial Physics, Garching
- RWTH Aachen University
- University of Tübingen
- GFZ Helmholtz Centre for Geosciences
- Humboldt-Universität zu Berlin •
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- TU Bergakademie Freiberg
- 10 more »
- « less
-
Field
-
Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
-
: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
-
practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
-
or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
-
, computer science, or a related field with an overall grade of at least “gut” (or equivalent, e.g., cum laude) Expertise in quantum mechanics, experience with HPC, programming (e.g., Python, C / C++), and/or
-
other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
-
; Experience with HPC, programming (e.g., Python, C/C++), and/or scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary
-
, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
-
techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
-
data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will