Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- DAAD
- Nature Careers
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- University of Siegen
- Academic Europe
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- University of Stuttgart
- Bielefeld University
- CIPMM - Systemic Neurophysiology
- Chemnitz University of Technology
- Constructor University Bremen gGmbH
- European XFEL
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Helmholtz-Zentrum Umweltforschung
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Meteorology •
- Max Planck Institute of Animal Behavior, Radolfzell / Constance
- Technische Universität Ilmenau (Germany)
- University of Konstanz
- cellumation GmbH
- 18 more »
- « less
-
Field
-
problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
-
, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
-
degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
-
continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
-
with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability
-
Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
-
the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work in a team are
-
is desirable. Basic understanding of embedded systems and processor architectures. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage
-
of LLMs is desirable. Basic understanding of embedded systems. Familiarity with fault detection, system reliability, or troubleshooting techniques. Strong programming skills (C/C++, Python; hardware
-
HPC systems Practical experience working with conda environments and Python scripting Motivation to contribute to the development of an open-source molecular modeling platform for soil components Hands