Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- CNRS
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Denmark
- The University of Manchester
- University of Warwick
- Aalborg University
- Delft University of Technology (TU Delft)
- Swedish University of Agricultural Sciences
- Technical University of Munich
- University of Nottingham
- Newcastle University
- Cranfield University
- Leibniz
- Monash University
- University of Copenhagen
- University of Southern Denmark
- University of Exeter
- Utrecht University
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Linköping University
- Queensland University of Technology
- University of Birmingham
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- University of Cambridge;
- University of Twente
- University of Twente (UT)
- Aalborg Universitet
- Bucharest Universty of Economic Studies
- DAAD
- ETH Zürich
- Imperial College London
- Norwegian University of Life Sciences (NMBU)
- Technical University Of Denmark
- UNIVERSITY OF HELSINKI
- University of Sheffield
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Ariel University
- Instituto Superior de Agronomia
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- Maastricht University (UM)
- Newcastle University;
- Northeastern University London
- Tallinn University of Technology
- Umeå University
- Universidade do Minho
- Universite de Montpellier
- University of A Coruña
- University of Amsterdam (UvA)
- University of Luxembourg
- University of Newcastle
- University of Oslo
- University of Plymouth
- Analytical Food Chemistry at Technical University of Munich
- Centrale Lille Institut
- Chalmers University of Technology
- Empa
- Faculdade de Medicina da Universidade do Porto
- Faculty of Sciences of the University of Porto
- Fraunhofer-Gesellschaft
- Hasselt University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Institute of Nuclear Physics Polish Academy of Sciences
- Itä-Suomen yliopisto
- King's College London
- LEM3
- Leiden University
- Max Planck Institute for Multidisciplinary Sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Medical University of Innsbruck
- National Renewable Energy Laboratory NREL
- Nord University
- Reykjavik University
- Sorbonne University, IMPMC-UMR 7590
- Technische Universität Dortmund
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universidade de Vigo
- University of Adelaide
- University of Agder
- University of Birmingham;
- University of South Carolina
- University of Surrey
- University of Tübingen
- University of Vienna
- University of Warwick;
- cnrs
- ;
- AGH University of Krakow
- AIT Austrian Institute of Technology
- Aarhus University
- Abertay University
- Aix-Marseille Université
- BRGM
- 90 more »
- « less
-
Field
-
contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
-
. The project will also delve into generation and integration of synthetic data, via deployment of numerical simulations with existing advanced calibrated multiphysics models, with real data acquired through
-
Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
-
validation and mechanistic interpretation of large simulation datasets. The project is led by Dr. Pau Ferri Vicedo within the group of Dr. Mercedes Boronat, and benefits from a unique environment at ITQ, where
-
with thermal/heat‑pipe simulation. The work will establish a verified neutronics baseline, develop a thermal/heat‑pipe model, and integrate the tools to quantify temperature feedback and enable rapid
-
increasingly rely on data-driven models to extract, represent, and interpret information from complex and evolving environments. Traditional machine learning approaches, as well as many classical signal
-
, validated against high-fidelity simulations. -Phase 3 (Months 18-36): Development of reduced-order models integrating control effects, validated against simulations and IUSTI experimental data. -Means
-
materials. Simulation outcomes will be compared with experimental observations where possible, enabling validation of the proposed design and modeling framework. Ultimately, the project aims to enable
-
curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
-
of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth