Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- University of Tübingen
- Helmholtz Association of German Research Centres
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Center for Systems Biology Dresden (CSBD)
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- Free University of Berlin
- Georg-August-Universität Göttingen
- HITS gGmbH
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max-Planck-Institut für Bildungsforschung
- Saarland University
- Technische Universität Dresden (TU Dresden)
- University of Hamburg •
- University of Potsdam •
- 14 more »
- « less
-
Field
-
individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal of understanding biological systems in their entirety. The study of biomolecular systems poses
-
, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
-
Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | 2 months ago
you will learn the specific methods you need for your project Feedback from experienced research advisers Excellent research facilities Instruction in English Thesis may be written in English or German
-
Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
-
of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
-
(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard
-
of Excellence iFIT Cluster of Excellence Machine Learning Cluster of Excellence TERRA CIN LEAD Graduate School & Research Network Collaborative Research Centers Research Training Groups DFG Research Units Emmy
-
(www.cda.cit.tum.de ). Accordingly, we are currently searching for a Ph.D. student to join our team on AI for Chip Design! Our Research In our group, we create, modify, and adapt AI methods (such as Machine Learning
-
of microfluidic devices. Simulation for microfluidics. (CFD) High Performance Computing and/or GPU programming for this domain. Machine learning algorithms for this domain Clean energy solutions (e.g., microfluidic
-
coding skills to design highly efficient algorithms. Solid knowledge in the areas of algorithmics, optimization problems, as well as experience with SAT/SMT solvers or machine learning is an advantage