Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- DAAD
- Nature Careers
- Leibniz
- Fraunhofer-Gesellschaft
- University of Tübingen
- Heidelberg University
- Forschungszentrum Jülich
- Goethe University Frankfurt •
- Helmholtz-Zentrum Geesthacht
- Catholic University Eichstaett-Ingolstadt
- Deutsches Elektronen-Synchrotron DESY
- Dresden University of Technology •
- German Cancer Research Center (DKFZ) Heidelberg •
- Helmholtz-Zentrum Dresden-Rossendorf •
- Hertie AI institute for brain health / University of Tübingen
- Humboldt-Universität zu Berlin •
- Johannes Gutenberg University Mainz •
- Justus Liebig University Giessen •
- Leipzig University •
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry •
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Immunobiology and Epigenetics •
- Max Planck Institutes
- Ruhr-Universität Bochum •
- Saarland University •
- Technical University of Darmstadt •
- University of Bonn •
- University of Bremen •
- University of Education Freiburg •
- University of Kassel •
- University of Mannheim •
- University of Regensburg •
- University of Stuttgart •
- University of Tübingen •
- Universität Tübingen
- 30 more »
- « less
-
Field
-
THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
-
protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
-
future scenario simulation of VBD. Including machine learning, statistical, and process-based models. Present findings at scientific conferences and publish in peer-reviewed journals. Contribute
-
future scenario simulation of VBD Including machine learning, statistical, and process-based models Present findings at scientific conferences and publish in peer-reviewed journals Contribute
-
expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
-
journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
-
: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
-
, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
-
on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
-
machine learning We offer: Academic freedom to pursue your scientific interests related to infection biology, inflammation, gene expression, and intracellular organization Competitive salary including