Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- Nature Careers
- Technical University of Munich
- Leibniz
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- University of Nottingham
- University of Antwerp
- Delft University of Technology (TU Delft)
- Linköping University
- CNRS
- Eindhoven University of Technology (TU/e)
- University of Oslo
- Utrecht University
- KU LEUVEN
- Aalborg Universitet
- Cranfield University
- Empa
- University of Southern Denmark
- Inria, the French national research institute for the digital sciences
- Newcastle University
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- Umeå University
- University of Amsterdam (UvA)
- University of Basel
- University of Birmingham
- VIB
- DAAD
- Ecole Centrale de Lyon
- Norwegian University of Life Sciences (NMBU)
- Tallinn University of Technology
- UNIS
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel (VUB)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Leiden University
- Manchester Metropolitan University;
- Paul Scherrer Institut Villigen
- SciLifeLab
- Technical University Of Denmark
- University of Bergen
- University of Cambridge
- University of Exeter
- University of Plymouth
- University of Sheffield
- University of Twente (UT)
- University of Vienna
- Uppsala universitet
- Academic Europe
- ETH Zürich
- Ecole Centrale de Nantes
- European XFEL
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- ICN2
- IFP Energies nouvelles (IFPEN)
- IMDEA Networks Institute
- 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
- Manchester Metropolitan University
- Medical University of Innsbruck
- Mid Sweden University
- Nicolaus Copernicus Astronomical Center
- The University of Manchester
- UNIVERSIDAD EUROPEA
- UNIVERSITY OF VIENNA
- Umeå universitet
- Universidade de Vigo
- Universitat de Barcelona
- University Medical Center Utrecht (UMC Utrecht)
- University of Birmingham;
- University of Bologna
- University of South-Eastern Norway
- University of Surrey;
- University of Warwick
- VUB Vrije Universiteit Brussel
- Wageningen University & Research
- Western Norway University of Applied Sciences
- Wrocław University of Science and Technology
- cnrs
- ;
- Aarhus University
- Abertay University
- Amsterdam UMC
- BRGM
- Bielefeld University
- Build to Zero S.L.
- CERIC-ERIC
- Centrale Supelec
- Chalmers University of Technology
- Chemnitz University of Technology
- City St George’s, University of London;
- Curtin University
- Czech Technical University in Prague
- 90 more »
- « less
-
Field
-
Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and
-
interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
-
automation, data science, python. The ability to collaborate in a multidisciplinary research environment is essential. Personal initiative, ability to work systematically, reliability, responsibility, teamwork
-
data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
-
analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
-
*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
-
expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
-
techniques and the physical principles behind them Interest in scientific programming using Python Excellent communication skills and ability to integrate easily into interdisciplinary research team Additional
-
of programming languages such as C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX The candidate has to be fluent
-
or signal analysis • Programming in Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare