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
- Eindhoven University of Technology (TU/e)
- Empa
- Swedish University of Agricultural Sciences
- University of Birmingham
- University of Southern Denmark
- Carnegie Mellon University
- Newcastle University
- University of Basel
- University of Luxembourg
- VIB
- Chalmers University of Technology
- 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
- Helmholtz-Zentrum Geesthacht
- 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 Siegen
- University of Surrey
- University of Texas at El Paso
- University of Twente (UT)
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Amsterdam UMC
- ETH Zürich
- Ecole Centrale de Nantes
- European XFEL
- George Mason University
- Harvard University
- Heidelberg University
- 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 Warwick
- 90 more »
- « less
-
Field
-
development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
-
with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
-
project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 12 days ago
Python. Knowledge of a distributed computation framework is a plus. The candidate should be proficient in English. Knowing French is not necessary, as daily communication in the team is mostly in English
-
development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
-
, Mechatronics, Data Science, or a closely related field Strong background in signal processing, measurement systems, or data analysis Programming skills in Python, MATLAB, or similar scientific computing
-
, including, but not restricted to, geometry or shape optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience
-
laboratory work (DNA extraction, PCR, sequencing workflows) Bioinformatics and statistical analysis (e.g., R or Python) Biodiversity assessment or ecological community analysis Fieldwork experience in
-
excellent analytical and programming skills (for example in Stata, R or Python), experience working with data, and an enthusiasm for interdisciplinary research that bridges data science, healthcare, and
-
. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning