Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- Brandenburg University of Technology Cottbus-Senftenberg •
- Faculty of Science, Charles University
- CNRS
- DIFFER
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Luxembourg Institute of Science and Technology
- Nature Careers
- The Open University;
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Münster •
- University of Southern Denmark
- University of Strathclyde (UOS)
- University of Vienna
- Université côte d'azur
- Université de Liège
- 8 more »
- « less
-
Field
-
for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
-
to research, development and demonstration of a methodology for building and integrating machine learning solutions for past technical artefacts. Contributing to the development of holistic view of product
-
storage, but their widespread deployment is limited by challenges in energy density, stability, solubility, and cost of electroactive redox compounds. The PhD candidate will develop and apply machine
-
contribute 1) to the analysis methods and metrics for understanding the complex interactions between forage resource and dynamics; 2) to develop Machine Learning methods for analysing sensor data on animal
-
the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
infrastructure you will have the opportunity to make an important contribution for a healthier society. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
-
apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
-
SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
(as machine learning techniques, etc.). Personal characteristics In the evaluation of which candidate is best qualified for the PhD position, emphasis will be placed on education, experience and
-
Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 18 hours ago
Degree Doctor of Philosophy (PhD) in Environmental Sciences Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and
-
Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 2 days ago
Degree Doctor of Philosophy (PhD) in Heritage Studies Course location Cottbus Teaching language English Languages All courses are taught in English. The dissertation is written in English, and the