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)
- Linköping University
- Utrecht University
- Aalborg Universitet
- Cranfield University
- Empa
- KU LEUVEN
- 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
- Swedish University of Agricultural Sciences
- University of Amsterdam (UvA)
- University of Basel
- University of Birmingham
- University of Luxembourg
- VIB
- Ecole Centrale de Lyon
- Norwegian University of Life Sciences (NMBU)
- SciLifeLab
- UNIS
- Universidade de Vigo
- University of Bergen
- University of Plymouth
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- Academic Europe
- 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
- University of Cambridge
- University of Exeter
- University of Oxford
- University of Sheffield
- University of Texas at El Paso
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 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
- The University of Manchester
- UNIVERSIDAD EUROPEA
- UNIVERSITY OF VIENNA
- Umeå universitet
- Universitat Autònoma de Barcelona
- Universitat de Barcelona
- Universite de Montpellier
- University Medical Center Utrecht (UMC Utrecht)
- University of Birmingham;
- University of Bologna
- University of Cambridge;
- 90 more »
- « less
-
Field
-
bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
-
candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
-
- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written
-
magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
-
well as programming skills (Python required; experience with seismic data processing is advantageous) Initial experience seismic data analysis and/or wave propagation modelling is an asset Willingness to participate in
-
automated manner. This includes the development of Python-based control and automation routines, as well as the analysis of large experimental datasets. These characterization techniques may be complemented
-
applications. Experience in natural language processing, model evaluation, or experimental design is advantageous. Proficiency in Python and/or R and familiarity with AI/ML libraries or generative AI platforms
-
for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project
-
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
-
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