Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Free University of Berlin
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- ;
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- FAU Erlangen-Nürnberg •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institutes
- University of Göttingen •
- University of Münster •
- Catholic University Eichstaett-Ingolstadt
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Hannover Medical School •
- Karlsruhe Institute of Technology •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Polymer Research, Mainz
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- RPTU University of Kaiserslautern-Landau •
- Saarland University •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- Technical University of Darmstadt •
- Technische Universität Berlin
- Technische Universität Berlin •
- University of Bamberg •
- University of Bayreuth
- University of Bayreuth •
- University of Bremen •
- University of Potsdam •
- Universität Hamburg •
- 35 more »
- « less
-
Field
-
Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
-
planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
-
Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
-
interdisciplinary cooperation as well as cooperation with existing research groups in mathematical physics, dynamical systems, data science, machine learning, control theory, optimisation, or numerics are expected
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
-
of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
-
Human Genome-Phenome Archive. The position will also be connected to a vibrant local ecosystem for data science and machine learning. Your Tasks The research group of Dr. Brian Clarke is looking for a
-
susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
-
: machine learning, data analysis, energy technology Experience with common deep learning and data analysis frameworks (e.g., PyTorch, Numpy, Pandas, sklearn, etc.) Independent, structured, and reliable way
-
macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions, machine learning, and experimental data. Our group works on the definition and implementation of strategies