Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- Aalborg University
- Leibniz
- University of Nottingham
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- CNRS
- University of Oslo
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Antwerp
- KU LEUVEN
- Linköping University
- Umeå University
- Utrecht University
- Empa
- SciLifeLab
- Swedish University of Agricultural Sciences
- University of Southern Denmark
- Aalborg Universitet
- Carnegie Mellon University
- Cranfield University
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- University of Luxembourg
- Uppsala universitet
- VIB
- ETH Zürich
- Leiden University
- Newcastle University
- UNIS
- UNIVERSITY OF VIENNA
- Universidade de Vigo
- University of Amsterdam (UvA)
- University of Basel
- University of Bergen
- University of Cambridge
- University of Exeter
- University of Oxford
- University of Plymouth
- University of Vienna
- University of Warwick
- Vrije Universiteit Brussel (VUB)
- Wageningen University & Research
- DAAD
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- King's College London
- Manchester Metropolitan University;
- Paul Scherrer Institut Villigen
- The University of Manchester
- University of Newcastle
- University of Sheffield
- University of Texas at El Paso
- Academic Europe
- Chalmers University of Technology
- Duke University
- Ecole Centrale de Nantes
- European XFEL
- GFZ Helmholtz-Zentrum für Geoforschung
- George Mason University
- Harvard University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- IMDEA Networks Institute
- Imperial College London
- Instituto Superior de Agronomia
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- LEM3
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Lunds universitet
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Medical University of Innsbruck
- Mid Sweden University
- Nantes Université
- National Renewable Energy Laboratory NREL
- Nicolaus Copernicus Astronomical Center
- PHAETHON Centre of Excellence
- Pennsylvania State University
- Sorbonne University, IMPMC-UMR 7590
- Tampere University
- The University of Chicago
- UNIVERSIDAD EUROPEA
- Umeå universitet
- Universitat Autònoma de Barcelona
- Universitat de Barcelona
- Universite de Montpellier
- University Medical Center Utrecht (UMC Utrecht)
- University of Birmingham
- University of Bologna
- University of Cambridge;
- 90 more »
- « less
-
Field
-
computational approaches, and the art of data visualization in complex but meaningful ways. The student will become an expert in using programming languages like Python and R. We work closely with highly
-
with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work
-
in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
-
, applied mathematics or a related discipline, and a specialization in machine learning, uncertainty quantification, optimization or related fields. Expected skills Proficiency in Matlab/Python/Julia Oral
-
. Objectives: Using our in-house python-based nonlinear aero-thermo-structural finite element solver you will investigate, understand, and optimise the behaviour of flight structures subjected to relatively
-
semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
-
programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
-
proficiency in programming (e.g., Python, PyTorch/JAX, or similar) Strong interest in method development Fluent oral and written communication skills in English Candidates without a master’s degree have until
-
software as python packages Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data
-
” for formal requirements regarding the master’s degree. Good programming skills in Python. Previous experience with neural approaches and particularly generative language models is an advantage. Experience