Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Heidelberg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Free University of Berlin
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Academic Europe
- Carl von Ossietzky Universität Oldenburg
- DAAD
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum für Infektionsforschung
- Institute for X-Ray Physics, University of Göttingen
- Leibniz Institute for Plasma Science and Technology
- Max Planck Institute for Astronomy, Arua, Uganda
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Physics, Garching
- Max Planck Institute of Colloids and Interfaces
- Technische Universität München
- University of Bremen
- University of Oldenburg
- 16 more »
- « less
-
Field
-
vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100
-
of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
-
funded by the German Federal Ministry of Education and Research (BMBF). The position is funded for four years with a possible extension. The project will start on October 1, 2021. Topics of the positions
-
field of additive manufacturing of metallic structures. The main focus is on developing and characterizing metallic high-performance materials for/through additive technologies by means of experiments and
-
computer science. It offers automatic grading and feedback of various types of exercises. The tool has been used at dozens of universities around the world (including 5 times at TUM) and graded almost a million
-
the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
-
., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
-
. Detection and imaging of electrical signals in neurons, the cells performing computation in our brain. You will work towards this goal by one of two complementary approaches: testing new quantum materials