Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- Technical University of Denmark
- Cranfield University
- Forschungszentrum Jülich
- Susquehanna International Group
- University of Groningen
- Leiden University
- Curtin University
- Technical University of Munich
- University of Nottingham
- University of Sheffield
- CWI
- Chalmers University of Technology
- University of Göttingen •
- ;
- ; The University of Manchester
- NTNU - Norwegian University of Science and Technology
- University of Adelaide
- University of Southern Denmark
- Utrecht University
- Wageningen University and Research Center
- ; Swansea University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Sheffield
- ICN2
- Ludwig-Maximilians-Universität München •
- ; Newcastle University
- ; University of Birmingham
- Leibniz
- Linköping University
- SciLifeLab
- University of Bristol
- University of Cambridge
- University of Copenhagen
- University of Innsbruck
- University of Utah
- Universität Hamburg •
- ; City St George’s, University of London
- ; Lancaster University
- ; University of Oxford
- ; University of Warwick
- Aalborg University
- Dresden University of Technology •
- Ghent University
- Goethe University Frankfurt •
- Heidelberg University •
- KINGS COLLEGE LONDON
- Leiden University; Leiden
- Max Planck Institute for Demographic Research (MPIDR)
- Monash University
- Queensland University of Technology
- Radboud University
- Ruhr-Universität Bochum •
- UNIVERSITY OF VIENNA
- Umeå University
- University of Bonn •
- University of Bremen •
- University of Luxembourg
- University of Manchester
- University of Oslo
- University of Tennessee at Chattanooga
- University of Twente
- University of Vienna
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- ; Loughborough University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of East Anglia
- ; University of Exeter
- ; University of Nottingham
- ; University of Southampton
- AALTO UNIVERSITY
- Ariel University
- Bielefeld University •
- Brandenburg University of Technology Cottbus-Senftenberg •
- CNRS
- CSIRO
- Carl von Ossietzky University of Oldenburg •
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- European Magnetism Association EMA
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- German Cancer Research Center (DKFZ) Heidelberg •
- Hannover Medical School •
- Helmholtz-Zentrum Berlin für Materialien und Energie
- IRTA
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Science and Technology Austria (ISTA)
- 90 more »
- « less
-
Field
-
ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
-
benchmarking. References: Flemisch, Darcis, Erbertseder, Faigle, Lauser, Mosthaf, Müthing, Nuske, Tatomir, Wolff, Helmig 2011. DuMux: DUNE for multi-phase,component,scale,physics,… flow and transport in porous
-
-state physics, fluid dynamics, solid-dynamics, and fracture/degradation; all in a highly transient and non-linear system. In this project we will extend multi-component, multi-phase field frameworks
-
the resilience of offshore marine infrastructures exposed to harsh and extreme environmental conditions. Through this PhD scholarship, you will contribute to the development of a physics-informed and data-driven
-
record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
-
landscapes. Research Project & Objectives This PhD project aims to develop a physics-informed and data-driven framework for structural condition assessment to support resilience-oriented decision making in
-
, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
-
equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
-
should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
-
development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud