Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- Technical University of Denmark
- University of Nottingham
- Aalborg University
- Cranfield University
- DAAD
- Tallinn University of Technology
- University of Oslo
- Utrecht University
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- University of Southern Denmark
- Empa
- Forschungszentrum Jülich
- Leibniz
- Manchester Metropolitan University;
- Swedish University of Agricultural Sciences
- ;
- Maastricht University (UM)
- Norwegian University of Life Sciences (NMBU)
- UNIVERSITY OF HELSINKI
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- ETH Zürich
- Lulea University of Technology
- Radboud University
- Tilburg University
- Umeå University
- University of Amsterdam (UvA)
- University of Göttingen •
- Aalborg Universitet
- Chalmers University of Technology
- Fraunhofer-Gesellschaft
- George Mason University
- Karolinska Institutet, doctoral positions
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Manchester Metropolitan University
- NIOZ Royal Netherlands Institute for Sea Research
- NTNU Norwegian University of Science and Technology
- Oak Ridge National Laboratory
- SciLifeLab
- The University of Manchester
- University of Basel
- University of Luxembourg
- University of Sheffield
- Uppsala universitet
- Vrije Universiteit Brussel (VUB)
- Western Norway University of Applied Sciences
- Aarhus University
- Auburn University
- Avans University of Applied Sciences
- Babes-Bolyai University
- Barcelona School of Economics
- CNRS
- Center for Theoretical Physics PAS
- Centrale Supelec
- Charles University, Faculty of Pharmacy in Hradec Kralove
- City University of Hong Kong
- Consiglio Nazionale delle Ricerche
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- Duke University
- Ecole Centrale de Lyon
- European Synchrotron Radiation Facility
- Faculty of Science, Charles University
- Fondation nationale des Sciences Politiques
- Fritz Haber Institute of the Max Planck Society, Berlin
- Ghent University
- Helmholtz-Zentrum Geesthacht
- Hong Kong Polytechnic University
- ICN2
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Institut polytechnique UniLaSalle
- Institute of Geography, Slovak Academy of Sciences
- Itä-Suomen yliopisto
- Leiden University
- Leipzig University •
- Linköpings universitet
- Luleå University of Technology
- Luleå university of technology
- MASARYK UNIVERSITY
- Masaryk University - Faculty of Arts
- Maynooth University
- McGill University
- Michigan State University
- Middlesex University;
- Murdoch University
- Nantes Université
- Newcastle University;
- Oxford Brookes University;
- Pennsylvania State University
- Poznan University of Technology
- Purdue University
- THE UNIVERSITY OF HONG KONG
- Technical University Of Denmark
- Texas A&M AgriLife
- 90 more »
- « less
-
Field
-
biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
-
microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
-
cell membranes. What you will do/learn: Synthetic and material science: assembly of nano-platforms with specific functionalities and model bio-membranes and characterisation using advanced analytical
-
close collaboration between the named academics at Leeds and York, with the student able to commute as appropriate. They will learn practical aspects of sustainable chemistry at each institution
-
different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
-
years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by
-
here to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research at Corpus Christi, is seeking a highly motived Assistant
-
to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
-
digital twins and advanced analytics. The work will support equipment-level deployment of predictive maintenance services while ensuring robustness, explainability, and alignment with industrial reliability
-
to the development of non-destructive methods to monitor natural degradation, using advanced analytical and statistical approaches. • Develop, implement, and refine models that integrate micro-environmental