Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Biogeochemistry, Jena
- Fraunhofer-Gesellschaft
- University of Tübingen
- CISPA (at University of Stuttgart)
- Heidelberg University
- Humboldt-Universität zu Berlin •
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- TU Bergakademie Freiberg
- 6 more »
- « less
-
Field
-
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
-
inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas publication and
-
analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
-
occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
-
academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
-
are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
-
experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
-
into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
-
Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) good knowledge of English (written and oral) high degree of creativity and flexibility; ability to work under
-
publication record #excellent programming skills in Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) #good knowledge of English (written and oral) #high degree