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
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- University of Nottingham
- University of Oslo
- CNRS
- University of Antwerp
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Linköping University
- Aalborg Universitet
- Cranfield University
- Empa
- KU LEUVEN
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- University of Southern Denmark
- Carnegie Mellon University
- DAAD
- Inria, the French national research institute for the digital sciences
- Newcastle University
- Queensland University of Technology
- University of Amsterdam (UvA)
- University of Basel
- University of Birmingham
- University of Luxembourg
- VIB
- Ecole Centrale de Lyon
- Norwegian University of Life Sciences (NMBU)
- UNIS
- Universidade de Vigo
- University of Bergen
- University of Plymouth
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- ETH Zürich
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Leiden University
- Manchester Metropolitan University;
- Paul Scherrer Institut Villigen
- Technical University Of Denmark
- The University of Manchester
- Umeå universitet
- University of Cambridge
- University of Exeter
- University of Oxford
- University of Sheffield
- University of Texas at El Paso
- University of Tübingen
- University of Warwick
- Wageningen University & Research
- 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 Hereon
- Helmholtz-Zentrum Geesthacht
- ICN2
- IFP Energies nouvelles (IFPEN)
- IMDEA Networks Institute
- Imperial College London
- Instituto Superior de Agronomia
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- King's College London
- 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
- National Renewable Energy Laboratory NREL
- Nicolaus Copernicus Astronomical Center
- PHAETHON Centre of Excellence
- Pennsylvania State University
- Tallinn University of Technology
- Tampere University
- UNIVERSIDAD EUROPEA
- UNIVERSITY OF VIENNA
- Universitat Autònoma de Barcelona
- Universitat de Barcelona
- Universite de Montpellier
- University Medical Center Utrecht (UMC Utrecht)
- University of Birmingham;
- University of Bologna
- 90 more »
- « less
-
Field
-
the simulation models using appropriate tools (e.g., AnyLogic, Simio, Siemens Plant Sim, Python, MATLAB or other relevant simulation platforms) Evaluate and validate the proposed framework and assess its impact on
-
Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data
-
familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
-
programming skills in for instance Python, Matlab or another programming language is a requirement. Experience with geodynamic and/or landscape evolution modelling is an advantage. Experience with tectonics
-
. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experiences with engineering design, structural/aerodynamic/aeroelasticity modelling, manufacturing/assembly process
-
programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
-
skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving skills and interest in mathematical research. Experience with
-
analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
-
, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
-
techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How