Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Technical University of Denmark
- DAAD
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- Ghent University
- ;
- Leibniz
- Chalmers University of Technology
- Utrecht University
- Curtin University
- Susquehanna International Group
- University of Nottingham
- ; City St George’s, University of London
- SciLifeLab
- Umeå University
- University of Antwerp
- ; The University of Edinburgh
- Cranfield University
- Empa
- University of Southern Denmark
- VIB
- ; The University of Manchester
- ; University of Reading
- Leiden University
- Linköping University
- University of Oslo
- University of Southern Queensland
- Wageningen University and Research Center
- ; Swansea University
- ; Technical University of Denmark
- ; University of Nottingham
- ; University of Sheffield
- ; University of Warwick
- CWI
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Extraterrestrial Physics, Garching
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- University of Adelaide
- University of Bergen
- University of Copenhagen
- University of Tübingen
- University of Vienna
- ; Coventry University Group
- ; Oxford Brookes University
- ; University of Birmingham
- ; University of Bristol
- ; University of East London
- ; University of Exeter
- ; University of Oxford
- ; University of Stirling
- Aalborg University
- Abertay University
- Canadian Association for Neuroscience
- Erasmus University Rotterdam
- European Magnetism Association EMA
- Humboldt-Universität zu Berlin •
- Institut Pasteur
- Ludwig-Maximilians-Universität München •
- MPINB
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Meteorology •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Monash University
- Mälardalen University
- National Research Council Canada
- Norwegian Meteorological Institute
- Queensland University of Technology
- TU Bergakademie Freiberg
- The Chinese University of Hong Kong
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Luxembourg
- Østfold University College
- 69 more »
- « less
-
Field
-
languages such as Python for data analysis and simulations. Experience with optical systems, astronomical observations, or satellite tracking would be advantageous, although not compulsory. Strong analytical
-
that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
-
with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
-
or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
-
-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
-
, catalysis or surface science. Experience in scientific programming, e.g. using Python, is an advantage. The candidate has obtained excellent grades in his/her Bachelor and Master educations, good
-
will be an advantage if candidates have an interest in optimisation, control and computing systems, model checking, mathematical logic and good programming skills, ideally in MATLAB, Python and/or C/C
-
analytical chemistry, mass spectrometry, or trace gas measurements is an asset Enthusiasm for laboratory and field work Willingness to engage in programming and data analysis (preferably Python) Excellent
-
occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
-
and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level