Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Aalborg University
- Technical University of Munich
- Leibniz
- Technical University of Denmark
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- University of Oslo
- University of Antwerp
- CNRS
- DAAD
- Delft University of Technology (TU Delft)
- Linköping University
- Tallinn University of Technology
- Utrecht University
- KU LEUVEN
- University of Amsterdam (UvA)
- Aalborg Universitet
- Cranfield University
- Empa
- Swedish University of Agricultural Sciences
- University of Birmingham
- University of Southern Denmark
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Newcastle University
- University of Basel
- University of Luxembourg
- VIB
- Ecole Centrale de Lyon
- Manchester Metropolitan University;
- Norwegian University of Life Sciences (NMBU)
- UNIS
- Umeå University
- University of Vienna
- Vrije Universiteit Brussel (VUB)
- Academic Europe
- Duke University
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Inria, the French national research institute for the digital sciences
- Leiden University
- Medical University of Innsbruck
- SciLifeLab
- UNIVERSITY OF VIENNA
- University Medical Center Utrecht (UMC Utrecht)
- University of Cambridge
- University of Oxford
- University of Sheffield
- University of Texas at El Paso
- University of Twente (UT)
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- ;
- Amsterdam UMC
- Chalmers University of Technology
- ETH Zürich
- Ecole Centrale de Nantes
- European XFEL
- George Mason University
- Harvard University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- ICN2
- IFP Energies nouvelles (IFPEN)
- IMDEA Networks Institute
- Imperial College London
- Instituto Superior de Agronomia
- King's College London
- LEM3
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- National Renewable Energy Laboratory NREL
- Nicolaus Copernicus Astronomical Center
- Pennsylvania State University
- Queensland University of Technology
- Technical University Of Denmark
- The University of Manchester
- UNIVERSIDAD EUROPEA
- Umeå universitet
- Universidade de Vigo
- Universitat Autònoma de Barcelona
- Universitat de Barcelona
- University of Bergen
- University of Birmingham;
- University of Bologna
- University of Cambridge;
- University of Exeter
- University of Massachusetts Medical School
- University of Newcastle
- University of South-Eastern Norway
- University of Stuttgart
- University of Surrey;
- University of Warwick
- 90 more »
- « less
-
Field
-
computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
-
., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
-
/Qualifications Candidates must have a master's degree, preferably with a background in semiconductor physics. Basic knowledge of electronics and Python programming would be appreciated. Applicants must have a keen
-
we are looking for has: -A good MSc degree or equivalent in applied mathematics or physics, or related area. -Strong numerate and programming skills (Python, C/C++) -Understanding of fluids flow in
-
assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
-
., in C++, Python or Matlab. Who we are The successful candidate will be hosted by the Section on AI & Sound. This section is led by Prof. Jan Østergaard. A dedicated supervisory team composed of experts
-
pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
-
programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
-
will use and develop Python scripts for analysing results and may participate in the development of codes such as the observation simulator and the improvement of the controller. The proposed thesis will
-
multi-disciplinary project. You also possess: a successfully completed MSc degree (120 ECTS points) in Human Nutrition, Food Science, or a closely related field; strong quantitative skills (e.g. R, Python