Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Heidelberg University
- DAAD
- Free University of Berlin
- Max Planck Institute for Demographic Research (MPIDR)
- ; Technical University of Denmark
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Social Law and Social Policy, Munich
- Max Planck Institute of Biophysics, Frankfurt am Main
- Max Planck Institute of Molecular Physiology, Dortmund
- University of Paderborn
- University of Tübingen
- 9 more »
- « less
-
Field
-
background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A
-
the Department Molecular Metabolism and Precision Nutrition E-Mail: olga.ramich(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6
-
Funded by the German Research Foundation (DFG), Research Unit 5339 "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" was established in 2023 at KIT and the
-
Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 14 days ago
with the IPP-NBI team. Strong collaboration with the NBTF team and related experiments is requested. Your tasks Responsible for operation of the beam diagnostics at the test facilities Analyze
-
process A wide range of opportunities for further training and career development Remuneration for the position is based on pay group 13 TV-L. The contract is limited to 24 months. For further questions
-
talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
-
the advection, cooling, and drying of air masses from lower latitudes. To better constrain future Arctic climate change, we want to understand how boundary-layer and cloud processes drive and control these air
-
ability to quantify and model these processes remains limited, contributing to uncertainties in global carbon sink estimates. You will analyze data and samples from past and upcoming expeditions to evaluate
-
theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods
-
using DC and AC-based techniques such as characteristic curves, cyclic voltammetry and electrochemical impedance spectroscopy Participation in the investigation of stacks and cells post-test using