Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Free University of Berlin
- Humboldt-Stiftung Foundation
- Fraunhofer-Gesellschaft
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Chemical Physics of Solids, Dresden
- University of Paderborn
- WIAS Berlin
- ; Technical University of Denmark
- ; University of Cambridge
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plant Breeding Research, Köln
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Social Anthropology, Halle (Saale)
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Ruhr University Bochum
- University of Augsburg
- University of Duisburg-Essen
- University of Greifswald
- Universität Düsseldorf
- 34 more »
- « less
-
Field
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
-
, particularly in C++ and Python Good communication skills in spoken and written EnglishInterest or prior experience in machine learning techniques is considered an asset. You may expect a multifaceted and
-
cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
-
Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The following main research goals
-
) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
-
Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
-
. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
-
Research Back Profile Areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster
-
phage application strategies and contribute to publications and conference presentations Engage actively in team meetings and the interdisciplinary PHAGE-PRO network Your profile PhD in life sciences