Sort by
Refine Your Search
-
Country
-
Employer
- Chalmers University of Technology
- SciLifeLab
- AcademicTransfer
- Ecole Centrale Marseille
- Eindhoven University of Technology
- Stockholm University
- Technical University of Munich
- University of Antwerp
- ; Newcastle University
- ; UCL
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- CNRS - Sciences pour l'environnement
- Cranfield University
- Delft University of Technology
- Department of Physics and Astronomy, Bologna University
- Eindhoven University of Technology (TU/e)
- Empa
- Karolinska Institutet
- Maastricht University (UM)
- Max Planck Institute for Biological Intelligence •
- Mines Paris - PSL, Centre PERSEE
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU Norwegian University of Science and Technology
- Radboud University
- The University of Auckland
- The University of Newcastle
- UNIVERSIDAD AUTÓNOMA DE MADRID
- University of Adelaide
- University of Amsterdam
- University of Amsterdam (UvA)
- University of Nottingham
- University of Sheffield
- University of Technology Sydney
- Wageningen University & Research
- 26 more »
- « less
-
Field
-
16 Apr 2024 Job Information Organisation/Company Chalmers University of Technology Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Sweden Application
-
Join a world-leading, cross-continental research team The University of Exeter and the University of Queensland are seeking exceptional students to join a world-leading, cross-continental research team tackling major challenges facing the world’s population in global sustainability and wellbeing...
-
. The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine. A substantial part of the research will therefore be done in close collaboration with
-
. The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine. A substantial part of the research will therefore be done in close collaboration with
-
of Mechanical Engineering’s Thermofluids Group at the University of Sheffield for a fully-funded PhD on mathematical modelling and control of turbulent flows. Working under the supervision of Dr Elena Marensi
-
. The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine. A substantial part of the research will therefore be done in close collaboration with
-
, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
-
, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
-
1st class would be highly desirable. We welcome candidates from a broad range of disciplines, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine
-
must hold an M.Sc. degree in a relevant field, such as data science, bioinformatics, mathematical statistics, mathematics, computer science, physics or molecular biology (obtained latest October 1, 2024