Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- DAAD
- Leibniz
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Free University of Berlin
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- ;
- FAU Erlangen-Nürnberg •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institutes
- University of Göttingen •
- University of Münster •
- Deutsches Elektronen-Synchrotron DESY •
- 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 Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics
- RPTU University of Kaiserslautern-Landau •
- RWTH Aachen University
- Saarland University •
- Technical University of Darmstadt •
- Technische Universität Berlin •
- Technische Universität München
- University of Bamberg •
- University of Bayreuth •
- University of Bremen •
- University of Potsdam •
- Universität Hamburg •
- WIAS Berlin
- 34 more »
- « less
-
Field
-
of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
-
reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be complemented by own lab testing e.g., SSRT incl
-
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
-
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
-
, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
-
: 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
-
. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
-
Quality”, we focus on data-driven optimization of production processes with the help of machine learning and artificial intelligence. Laser processes enable highly precise and flexible material processing
-
• Experience with machine learning frameworks (e. g. TensorFlow, PyTorch) and Explainable AI (XAI) • Experience with machine learning and/or AI-based methods for data analysis • Experience in processing and
-
of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with