Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- DAAD
- Fraunhofer-Gesellschaft
- Leibniz
- Nature Careers
- Hannover Medical School •
- Heidelberg University
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Brandenburg University of Technology Cottbus-Senftenberg •
- GFZ Helmholtz Centre for Geosciences
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Technische Universität Berlin •
- University of Münster •
- University of Tübingen
- ;
- CISPA Helmholtz Center for Information Security
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum München
- Heraeus Covantics
- Hertie AI institute for brain health / University of Tübingen
- Hertie School •
- International PhD Programme (IPP) Mainz
- Karlsruhe Institute of Technology (KIT)
- Leipzig University •
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- RPTU University of Kaiserslautern-Landau •
- RWTH Aachen University
- Saarland University •
- TU Dresden
- Technical University of Darmstadt •
- Uni Tuebingen
- University of Potsdam •
- Universität Hamburg •
- Universität Heidelberg
- 42 more »
- « less
-
Field
-
-driven energy systems research – scalable, transparent, and interoperable. Your tasks in detail: Development of a structured description format for the unambiguous and machine-readable characterization
-
, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
-
) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
-
format for the unambiguous and machine-readable characterization of software interfaces and data models Selection and configuration of algorithms for annotating and organizing research data and software
-
processing, time series analysis or machine learning for the interpretation of structural data is desirable. Basic knowledge of numerical analysis and design of structures for special load cases (earthquakes
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
-
open PhD positions throughout the year. Learn more about PhD opportunities at the Hertie School and the relevant application deadlines here . Further information on the application procedure can be found
-
Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
-
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