Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Leibniz
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Munich
- Free University of Berlin
- University of Bremen
- Ulm University
- German Cancer Research Center
- Heidelberg University
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Technische Informationsbibliothek (TIB)
- 7 more »
- « less
-
Field
-
workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
-
, Mathematics, or a related field, and you possess a solid understanding of technical concepts. Programming Skills: You have initial experience in object-oriented programming, particularly with Python, and are
-
(especially Fortran and Python) - studies in a science degree program (BSc or MSc), preferably in planetary sciences - basic knowledge or strong interest in planetology and geodynamic modeling - english skills
-
. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required
-
in R, Python or Matlab and ability to work with large datasets Independent and analytical working habits Very good English language skills Our Offer: We work on the very latest issues that impact our
-
in programming languages such as Python and C++. Goal is the development and integration of new and automated measurement capabilities for ultra-sensitive low-energy AMS. This includes extending and
-
into high-quality, reusable Python software packages. - Engaging in the full software engineering process, including refactoring, comprehensive testing to ensure code reliability, and creating clear
-
. The platform enables automated behavioral analysis and supports researchers with valuable insights. What you will do Develop and maintain machine learning inference pipelines using Python and Docker Support
-
: - Enrolment at a German university. - Major in physics, mathematics, computer science or related subject - Programming experience in Python - Experience with PyTorch or similar libraries for neural networks
-
(e.g., handling bacterial or fungal cultures) - Basic knowledge of antimicrobial or inhibition assays - Good data handling and data processing skills (e.g., in Excel and GraphPad Prism, Python etc