Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- CNRS
- University of Warwick;
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Aalborg University
- University of Antwerp
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- University of Birmingham
- Utrecht University
- Forschungszentrum Jülich
- Monash University
- University of Warwick
- University of Oslo
- University of Twente (UT)
- Wageningen University & Research
- Queensland University of Technology
- SciLifeLab
- Umeå University
- University of Copenhagen
- University of East Anglia
- University of Groningen
- Wrocław University of Science and Technology
- AALTO UNIVERSITY
- Aalborg Universitet
- Abertay University
- Amsterdam UMC
- Centrum Wiskunde en Informatica (CWI)
- Durham University
- Fondazione Bruno Kessler
- Grenoble INP - Institute of Engineering
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IMDEA Networks Institute
- Instituto Politécnico de Bragança
- Jane Street Capital
- KU LEUVEN
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Manchester Metropolitan University;
- Max Planck Institute for Meteorology •
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- UNIVERSITY OF HELSINKI
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Basel
- University of Cambridge
- University of Cambridge;
- University of Göttingen •
- University of Surrey
- University of Sussex
- University of Twente
- Uppsala universitet
- VIB
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- AMADE research group
- ARCNL
- BAM Bundesanstalt für Materialforschung und -prüfung
- Blekinge Institute of Technology
- California Institute of Technology
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Technology
- Cold Spring Harbor Laboratory
- Constructor Knowledge Labs gGmbH
- DAAD
- Duke University
- ETH Zürich
- Erasmus MC (University Medical Center Rotterdam)
- European Molecular Biology Laboratory (EMBL)
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- GFZ Helmholtz-Zentrum für Geoforschung
- GSI Helmholtzzentrum für Schwerionenforschung
- German Cancer Research Center in the Helmholtz Association (DKFZ)
- HFML-FELIX
- Hannover Medical School •
- Heidelberg Institute for Theoretical Studies (HITS gGmbH)
- Heriot-Watt University
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- International PhD Programme (IPP) Mainz
- KNAW
- La Trobe University
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linköping University
- Lulea University of Technology
- Luxembourg Institute of Science and Technology
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute of Molecular Plant Physiology •
- Max-Planck Institute for Meteorology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- 90 more »
- « less
-
Field
-
data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
-
of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
-
indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
-
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
-
, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
-
comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case
-
complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
-
Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
-
-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess
-
maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment