Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- DAAD
- Forschungszentrum Jülich
- University of Luxembourg
- Nature Careers
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Tallinn University of Technology
- Technical University of Denmark
- University of Stuttgart •
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Leibniz
- Maastricht University (UM)
- UNIVERSIDAD POLITECNICA DE MADRID
- University of North Carolina at Chapel Hill
- Vrije Universiteit Brussel
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- AMOLF
- Arts et Métiers Institute of Technology (ENSAM)
- Biomedical Center, LMU Munich
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Technology
- Chalmers University of Techonology
- Chalmers tekniska högskola
- Dublin City University
- Duke University
- European Magnetism Association EMA
- Fluxim AG
- Fraunhofer Institute for Wind Energy Systems IWES
- Fureho AB
- Goethe University Frankfurt •
- Graz University of Technology
- Hannover Medical School •
- Heidelberg University •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- IMT Nord Europe
- KNAW
- King's College London
- Maastricht University (UM); 18 Oct ’25 published
- NTNU Norwegian University of Science and Technology
- Paul Scherrer Institut Villigen
- RWTH Aachen University
- Rice University
- Swansea University;
- The University of Edinburgh
- The University of Manchester;
- Universidade de Coimbra
- Universite de Montpellier
- University of Adelaide
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Bamberg •
- University of Bremen •
- University of British Columbia
- University of Groningen
- University of Konstanz •
- University of Newcastle
- University of Sheffield
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Université Marie et Louis Pasteur
- Université de Poitiers
- Virginia Tech
- WIAS Berlin
- 57 more »
- « less
-
Field
-
-processed functional materials Use of AI/ML and numerical simulation to optimize the microstructure-properties in the functional materials fabricated by the LPBF process Optimization of microstructure and
-
requirements: • Master degree in theoretical physics, computer science or communication systems • Excellent programming skills • Experience in optimization, numerical methods or learning • Proficiency in spoken
-
development of optimal passive mitigation solutions through the enhancement of components such as elastomers. These elements will be selected and optimised to absorb and isolate shock and vibration while
-
live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
-
well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient
-
is to investigate the optimal configuration for utility-scale AWE farms, considering the physics, economics, and environmental impact. To determine the optimal scaling strategies for kite farms, a
-
Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex
-
: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
-
PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
-
particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems