Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Leibniz
- Nature Careers
- Max Planck Institute for Biogeochemistry, Jena
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Extraterrestrial Physics, Garching
- University of Tübingen
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- TU Bergakademie Freiberg
- 7 more »
- « less
-
Field
-
, 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
-
collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are communicative, flexible and able to work under pressure
-
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
-
experimental and laboratory work Experience with programming in Python Fluency in speaking and writing English Previous experience with scanning probe microscopy would be an advantage Our Offer: We work on the
-
modeling is advantageous Good programming skills (e.g., Python) High degree of independence and willingness to show great commitment Very reliable and conscientious work style Fluent written and spoken
-
, 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
-
, 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
-
Familiar with R, Python or other coding languages Experience with HPC clusters and Job Schedulers (e.g. SLURM) Interdisciplinary communication skills and intercultural competence Knowledge and experience in