Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- University of Tübingen
- Humboldt-Universität zu Berlin •
- Justus Liebig University Giessen •
- Ruhr-Universität Bochum •
- CISPA (at University of Stuttgart)
- German Cancer Research Center (DKFZ) Heidelberg •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- MPINB
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Social Law and Social Policy, München
- Max Planck Institute for the Physics of Complex Systems •
- Max Planck Institute of Immunobiology and Epigenetics •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- TU Bergakademie Freiberg
- Technical University of Darmstadt •
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- University of Bayreuth •
- Universität Hamburg •
- 20 more »
- « less
-
Field
-
university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
-
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
-
. The successful candidate will be integrated into the Institute’s International Max Planck Research School “Global Multiplicities” ( https://www.imprs-gm.mpg.de ), which offers comprehensive structured doctoral
-
, ideally in Python, with demonstrated experience in applying them in complex research or development projects Basic knowledge in Machine Learning, ideally supported by initial hands-on experience Experience
-
circuit design methodologies and signal integrity analysis Deep understanding of programming languages (Python, C/C++), algorithms, and problem-solving in a dynamic tech landscape Hands-on experience in AI
-
, System Verilog and programming by using Perl or Python Preferably circuit and layout design experience in Cadence Virtuoso, Tanner EDA or any other full-custom design tool Strong problem-solving and
-
, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
-
of ASIC/ FPGA SoC architecture and digital design Proficiency in hardware description languages such as System Verilog, Verilog, or VHDL Programming knowledge in Python and C Experience on frontend and
-
strain engineering is a plus. Data analysis skills (e.g. in Python, MATLAB or similar) are a plus. Excellent communication skills in English, both written and spoken Strong motivation to work
-
, Cheminformatics, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language