187 python-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Leibniz
- Heidelberg University
- Humboldt-Stiftung Foundation
- Justus Liebig University Giessen •
- Ludwig-Maximilians-Universität München •
- Fraunhofer-Gesellschaft
- Ruhr-Universität Bochum •
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Max Planck Institute for Extraterrestrial Physics, Garching
- University of Tübingen
- Carl von Ossietzky University of Oldenburg •
- German Cancer Research Center (DKFZ) Heidelberg •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leipzig University •
- MPINB
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for the Physics of Complex Systems •
- Max Planck Institute of Immunobiology and Epigenetics •
- TU Bergakademie Freiberg
- Technical University of Darmstadt •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- University of Bayreuth •
- University of Kassel •
- University of Mannheim •
- University of Potsdam •
- Universität Hamburg •
- 23 more »
- « less
-
Field
-
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
-
of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
-
; 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
-
with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
-
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
-
complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
-
programming background with expierence in using Python, matlab, and/or Java, etc. a good command of German and English, both for teaching and for the preparation of research proposals and publications process
-
Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with
-
of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using