Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- Heidelberg University
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- University of Bremen •
- University of Göttingen •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- German Cancer Research Center (DKFZ) Heidelberg •
- Humboldt-Stiftung Foundation
- Karlsruhe Institute of Technology •
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry •
- 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 the Study of Societies •
- Max Planck Institute of Molecular Physiology, Dortmund
- Saarland University •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- TU Bergakademie Freiberg
- Technical University of Darmstadt •
- University of Education Freiburg •
- University of Münster •
- University of Tübingen •
- Universität Düsseldorf
- Universität Hamburg •
- 23 more »
- « less
-
Field
-
learning and big data analytics Extensive experience in Bayesian methods and with computer code repositories Experience in the field of energy storage Experience in managing scientific stuff, doctoral
-
. We would therefore strongly encourage qualified women to apply for the position. Your tasks develop surrogate models to approximate high-fidelity phase field simulations, incorporating physics-informed
-
Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
-
. Your responsibilities: Support in setting up the Laboratory for Social Robotics Maintenance and development of the lab: methods, AI applications, social robotics Implementation of empirical studies with
-
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
-
bases and instruments in terms of their efficiency and incidence Applied game-theoretic modelling based on 1) and on numerical estimates of the benefits that potential donor countries derive from
-
oligosaccharides using ion mobility mass spectrometry and gas phase IR spectroscopy. Both established techniques are applied and new methods are developed, especially for the differentiation of isomers. As part of
-
The Faculty of Engineering Sciences and the Institute of Computer Engineering (ZITI) at Heidelberg University invite applications for a Full Professorship (W3) in “Chip Design” (f/m/d) This tenured
-
-constrained devices. Uncertainty Quantification: Focus on methods to estimate and represent the uncertainty associated with biometric predictions, leading to more reliable systems. Explainability: Work
-
and apply cutting-edge methods in artificial intelligence (AI) to address urgent societal and environmental challenges such as improving food security, promoting animal welfare, protecting biodiversity