Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- DAAD
- Nature Careers
- Technical University of Munich
- Leibniz
- University of Tübingen
- Technische Universität München
- Heidelberg University
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute of Geoanthropology, Jena
- Free University of Berlin
- LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN
- Constructor University Bremen gGmbH
- GESIS - Leibniz Institut für Sozialwissenschaften
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Solid State Research, Stuttgart
- Max Planck Institute for the History of Science, Berlin
- Max Planck Institute for the Science of Light, Erlangen
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- 19 more »
- « less
-
Field
-
production projects What you bring to the table You are studying mechanical engineering, computer science, electrical engineering or a comparable subject A solid background in Python, C#, JavaScript or various
-
Preparation and documentation of results What you contribute You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python You have
-
for third- party funding YOUR PROFILE Requirements Completed scientific university studies, in particular in the subject economics, computer science, industrial engineering, business administration, or
-
leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied data science and machine
-
on multi-view sensor perspectives of the “First Mile” test field validation of the developed algorithms and execution of tests on the test bed “Erste Meile” What you bring to the table student in Computer or
-
available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
-
a related degree program. Experience in laboratory work, materials synthesis, and reactor operation is advantageous. Proficiency with material characterization techniques and tools such as MATLAB
-
, preferably in physics, mechanical engineering, materials science, materials engineering, industrial engineering, computer science, chemistry or a comparable course of study Enjoy developing your own ideas and
-
, materials science, materials engineering, industrial engineering, computer science, chemistry or another comparable course of study. You are interested in technical challenges in application-oriented research
-
Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and