Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Cranfield University
- The University of Manchester
- NTNU Norwegian University of Science and Technology
- Aalborg University
- CNRS
- Nature Careers
- University of Nottingham
- Wageningen University & Research
- Forschungszentrum Jülich
- Umeå University
- University of Antwerp
- University of Warwick
- Utrecht University
- Delft University of Technology (TU Delft)
- Empa
- Linköping University
- Luleå tekniska universitet
- Medical University of Innsbruck
- Northeastern University London
- Norwegian University of Life Sciences (NMBU)
- Swedish University of Agricultural Sciences
- Tallinn University of Technology
- University of Amsterdam (UvA)
- University of Exeter
- University of Newcastle
- University of Oslo
- Vrije Universiteit Brussel (VUB)
- ;
- CEA
- Chalmers University of Technology
- Cranfield University;
- DAAD
- ENVT INRAE
- Erasmus University Rotterdam
- European Magnetism Association EMA
- Faculdade de Medicina da Universidade do Porto
- Hasselt University
- Helmholtz-Zentrum Umweltforschung
- IMDEA Networks Institute
- INRIA
- Inria, the French national research institute for the digital sciences
- Institut National des Sciences Appliquées de Lyon
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Iquadrat Informatica SL
- Josep Carreras Leukaemia Research Institute (IJC)
- KNAW
- KU LEUVEN
- Lulea University of Technology
- Luleå university of technology
- Medizinische Universität Wien (Medical University of Vienna)
- Monash University
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Queensland University of Technology
- SciLifeLab
- Scuola IMT Alti Studi Lucca
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M AgriLife
- The University of Edinburgh;
- UNIVERSIDAD EUROPEA
- University College Cork
- University of Agder
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Dundee;
- University of Sheffield
- University of Southern Denmark
- Université de Caen Normandie
- Uppsala universitet
- Łukasiewicz PORT
- 64 more »
- « less
-
Field
-
Health . Project is carried out within the MAB/IRA programme of the Foundation for Polish Science. The P4Health Centre of Excellence is an interdisciplinary initiative focused on advancing Predictive
-
of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen
-
, data-driven control in high dimensions has penetrated many new application areas. Examples include control of autonomous vehicles based on video data, simulation-based prediction of turbulent flows and
-
. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
-
techniques will be integrated to enhance predictive capability, while explainable AI methods will be employed to identify the governing parameters controlling failure surface evolution and to ensure physical
-
systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
-
distributions and model parameter predictions. Experiments should be conducted on a range of tasks of different complexity in the context of different data domains, for example speech classification, speech
-
workflow that maps first-principles electronic-structure data onto predictive atomistic spin-Hamiltonians and device-scale dynamical models. The candidate will run high-throughput, relativistic DFT
-
, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling
-
parametric reduced order models of operating wind turbines, information contained in their differential geometry and safe data-driven control/reinforcement learning tools jointly developed with the second PhD