Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Forschungszentrum Jülich
- DAAD
- Technical University of Munich
- Nature Careers
- University of Potsdam •
- Leibniz
- Brandenburg University of Technology Cottbus-Senftenberg •
- University of Stuttgart •
- GFZ Helmholtz Centre for Geosciences
- Helmholtz-Zentrum Geesthacht
- University of Göttingen •
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum Hereon
- Heraeus Covantics
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for the Science of Light •
- Max-Planck-Zentrum für Physik und Medizin •
- Saarland University •
- TU Dresden
- Technische Universität Berlin •
- Technische Universität München
- University of Bremen •
- University of Konstanz •
- University of Münster •
- University of Tübingen •
- 17 more »
- « less
-
Field
-
of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
-
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 8 days ago
The Department of Process Systems Engineering (Director: Prof. Dr.-Ing. Kai Sundmacher) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting applications for the PhD
-
» BiochemistryEducation LevelMaster Degree or equivalent Skills/Qualifications • High motivation and commitment to scientific excellence. • University degree in natural sciences or engineering, preferably with a
-
is committed to training the next generation of European researchers/engineers in MCF technologies and applications. MATCH will offer its DCs a comprehensive education encompassing the latest
-
student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
-
Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
-
activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
-
physics, bioelectronics and fabrication technologies Interest in neural interfacing and neuroelectronics Good communications skills and proficiency in spoken and written English Willingness and the ability
-
). TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that is characterized
-
in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent