Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- Forschungszentrum Jülich
- Cranfield University
- Technical University of Munich
- Susquehanna International Group
- University of Luxembourg
- Linköping University
- Curtin University
- University of Southern Denmark
- ;
- ; City St George’s, University of London
- Leibniz
- Leiden University
- University of Groningen
- VIB
- CNRS
- CWI
- Chalmers University of Technology
- Ghent University
- Humboldt-Stiftung Foundation
- University of Bergen
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- AALTO UNIVERSITY
- Eindhoven University of Technology (TU/e)
- La Trobe University
- University of Adelaide
- University of Antwerp
- University of Basel
- University of Southern Queensland
- Uppsala universitet
- Vrije Universiteit Brussel
- ; University of Surrey
- Aalborg University
- Aarhus University
- Abertay University
- Carnegie Mellon University
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Duke University
- GFZ Helmholtz Centre for Geosciences
- KINGS COLLEGE LONDON
- Leiden University; Leiden
- Lulea University of Technology
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- SciLifeLab
- UNIVERSITY OF HELSINKI
- Universite de Moncton
- University of Bristol
- University of Copenhagen
- University of Newcastle
- University of Twente
- University of Twente (UT)
- Université Laval
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University and Research Center
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; Newcastle University
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Greenwich
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- Agricultural university - Plovdiv, Bulgaria
- Arts et Métiers Institute of Technology (ENSAM)
- Brookhaven Lab
- COFAC
- Drexel University
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Graz University of Technology
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum München
- Heraeus Covantics
- ICN2
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Physical Chemistry, Polish Academy of Sciences
- 89 more »
- « less
-
Field
-
technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in
-
the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
-
and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
-
may also explore embedding these new computational methods into optimisation and machine learning contexts. The new computational techniques developed will be geared towards the following key
-
-flexible technologies, and integrate machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their
-
, R) Expertise in machine learning, Bayesian statistics is beneficial Capacity for interdisciplinary teamwork and excellent communication skills Ability to communicate in English fluently
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
-
machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest
-
the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g
-
) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled