Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Nature Careers
- Karlsruher Institut für Technologie (KIT)
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Ruhr-Universität Bochum •
- University of Bremen •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Biomedical Center, LMU Munich
- Chemnitz University of Technology
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer-Gesellschaft
- GFZ Helmholtz Centre for Geosciences
- German Institute for Economic Research (DIW Berlin) •
- Hannover Medical School •
- Humboldt-Universität zu Berlin •
- International PhD Programme (IPP) Mainz
- Max Planck Institute for Solid State Research •
- Max Planck Institute for the Physics of Complex Systems •
- Max Planck Institute for the Science of Light •
- Max Planck Institute of Microstructure Physics •
- Max-Planck-Zentrum für Physik und Medizin •
- Technische Universität München
- University of Münster •
- University of Stuttgart •
- 18 more »
- « less
-
Field
-
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
-
» BiochemistryEducation LevelMaster Degree or equivalent Skills/Qualifications • High motivation and commitment to scientific excellence. • University degree in natural sciences or engineering, preferably with a
-
lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with fluorescent reporters and high-throughput screening approaches
-
of Econometrics and Statistics, esp. in the Transport Sector and co-supervised by Prof. Dr. Klaus Bogenberger, Chair of Traffic Engineering and Control, TU Munich. Requirements: Excellent, very good or good
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
-
Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
-
conferences and publish findings in peer-reviewed journals Your Profile: A Master’s degree in chemistry, materials science, chemical engineering, or a related field Desirable background in electrocatalysis and
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
-
control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
-
and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further