Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- Forschungszentrum Jülich
- Technical University of Munich
- Aalborg University
- Leibniz
- University of Nottingham
- NTNU Norwegian University of Science and Technology
- SciLifeLab
- CNRS
- Delft University of Technology (TU Delft)
- Technical University of Denmark
- University of Oslo
- Eindhoven University of Technology (TU/e)
- University of Antwerp
- KU LEUVEN
- Linköping University
- Umeå University
- Empa
- Swedish University of Agricultural Sciences
- University of Southern Denmark
- Utrecht University
- Aalborg Universitet
- Carnegie Mellon University
- Cranfield University
- Ecole Centrale de Lyon
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Universidade de Vigo
- University of Luxembourg
- University of Vienna
- Uppsala universitet
- VIB
- Wageningen University & Research
- Inria, the French national research institute for the digital sciences
- UNIS
- UNIVERSITY OF VIENNA
- University of Basel
- University of Bergen
- University of Cambridge
- University of Exeter
- University of Plymouth
- University of Warwick
- Vrije Universiteit Brussel (VUB)
- BRGM
- DAAD
- ETH Zürich
- Fraunhofer-Gesellschaft
- Harper Adams University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- King's College London
- Lunds universitet
- Manchester Metropolitan University;
- Newcastle University
- Paul Scherrer Institut Villigen
- The University of Manchester
- University of Amsterdam (UvA)
- University of Newcastle
- University of Oxford
- University of Sheffield
- University of Texas at El Paso
- Academic Europe
- Chalmers University of Technology
- Duke University
- Ecole Centrale de Nantes
- European XFEL
- George Mason University
- Harvard University
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- ICN2
- IMDEA Networks Institute
- IMEC
- 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
- Leiden University
- 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
- Radboud 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 Bologna
- 90 more »
- « less
-
Field
-
control Deep foundation in modern machine learning Solid programming skills in C++ and Python. Experience with ROS is a plus Extensive hands-on/practical experience on developing, implementing and/or
-
electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
-
technologyEducation LevelPhD or equivalent Skills/Qualifications Must-haves: Education: Master’s degree in Telecommunications, Computer Science, AI, or a related engineering field. Technical Skills: Strong Python
-
” 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
-
and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
-
degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
-
Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
-
; Experience in Python and R programming, and shell scripting - information provided in the CV and/or in the motivation letter; Proven scientific experience in the above-mentioned topics, demonstrated by
-
Health, Data Science, Remote Sensing, Geomatics or a closely related discipline•Strong analytical and programming skills (e.g. Python or similar)•Experience in at least two of the following areas
-
related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset