Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Tübingen
- Forschungszentrum Jülich
- Leibniz
- Ludwig-Maximilians-Universität München •
- Humboldt-Stiftung Foundation
- Hannover Medical School •
- University of Göttingen •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Heidelberg University
- Technische Universität Berlin •
- University of Münster •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- Helmholtz-Zentrum Geesthacht
- Hertie School •
- Karlsruhe Institute of Technology •
- Leipzig University •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- RPTU University of Kaiserslautern-Landau •
- Saarland University •
- Technical University of Darmstadt •
- University of Bamberg •
- University of Bremen •
- University of Potsdam •
- Universität Hamburg •
- 27 more »
- « less
-
Field
-
, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
-
The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
-
research is currently the main focus. Here, laboratory experiments are usually combined with state-of-the-art methods such as optogenetics, connectomics or machine learning. Activate map To activate the map
-
ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
-
to environmental cues. Innovation drivers include the development of advanced technologies and the full integration of complex computational approaches to answer relevant biological questions. To learn more about
-
for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
-
Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 23 hours 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
-
open PhD positions throughout the year. Learn more about PhD opportunities at the Hertie School and the relevant application deadlines here . Further information on the application procedure can be found
-
computer skills. We also expect successful candidates to be active team players in the RTG. Experience with data collection in an international context will be a plus. Language requirements Excellent command
-
, students gain profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half