Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- Technical University of Denmark
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- DAAD
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Monash University
- Curtin University
- Technical University of Munich
- University of Luxembourg
- University of Nottingham
- ; University of Birmingham
- CNRS
- University of Southern Denmark
- Chalmers University of Technology
- Ghent University
- Leibniz
- Leiden University
- Radboud University
- University of Adelaide
- Utrecht University
- VIB
- ; The University of Edinburgh
- Humboldt-Stiftung Foundation
- Linköping University
- Swinburne University of Technology
- The University of Iowa
- University of Göttingen •
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- ; Cranfield University
- ; Newcastle University
- Cornell University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Georgetown University
- Inria, the French national research institute for the digital sciences
- KNAW
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- Molde University College
- Queensland University of Technology
- The University of Manchester
- University of British Columbia
- University of Massachusetts Medical School
- University of Oslo
- University of Sheffield
- University of Twente
- University of Vienna
- ; Brunel University London
- ; University of Bristol
- ; University of Nottingham
- ; University of Southampton
- ; University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Hannover Medical School •
- Harper Adams University
- Imperial College London
- La Trobe University
- RWTH Aachen University
- The Ohio State University
- Trinity College Dublin
- University of Antwerp
- University of Basel
- University of Bristol
- University of Cambridge
- University of Graz
- University of Potsdam •
- Université Laval
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Technical University of Denmark
- ; University of Exeter
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Aalborg University
- Anthogyr
- Aristotle University of Thessaloniki
- CRAG-Centre de Recerca Agrigenòmica
- CSIRO
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- 89 more »
- « less
-
Field
-
its impact. The PhD will include aerodynamic and CFD modelling of the X-Rotor concept. It may also include wind tunnel testing depending on the candidate recruited. Levilised cost of energy modelling
-
the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
-
predictive model and conduct a sensitivity study to investigate the multiple factors on the performance of the flow meter. Funding The student will be in receipt of a stipend payment; the Research Council
-
preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
-
modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
-
Perpignan, and will then continue at the LaTEP laboratory in Pau. Doctoral school: ED 305 – Doctoral School of Energy and Environment at UPVD (University of Perpignan Via Domitia). Context In the current