Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- Curtin University
- DAAD
- Swinburne University of Technology
- Technical University of Munich
- CNRS
- Cranfield University
- Leibniz
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- University of Groningen
- VIB
- Delft University of Technology (TU Delft); Delft
- Linköping University
- University of Antwerp
- ;
- ; University of Birmingham
- Ghent University
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Monash University
- NTNU - Norwegian University of Science and Technology
- University of Luxembourg
- University of Southern Denmark
- ; City St George’s, University of London
- CWI
- Delft University of Technology (TU Delft)
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Fraunhofer-Gesellschaft
- KNAW
- La Trobe University
- Lulea University of Technology
- Radboud University
- UiT The Arctic University of Norway
- Umeå University
- University of Adelaide
- University of Nottingham
- University of Twente
- Universität Hamburg •
- Université Laval
- Uppsala universitet
- Utrecht University
- Wageningen University and Research Center
- ; Durham University
- ; St George's, University of London
- ; Swansea University
- ; The University of Manchester
- ; University of Oxford
- ; University of Warwick
- Agricultural university - Plovdiv, Bulgaria
- Arts et Métiers Institute of Technology (ENSAM)
- Austrian Academy of Sciences, The Human Resource Department
- COFAC
- Canadian Association for Neuroscience
- Chalmers University of Technology
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- ETH Zürich
- Ecole Polytechnique Federale de Lausanne
- Eindhoven University of Technology (TU/e); Eindhoven
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Human Technopole
- IRTA
- Institut Pasteur
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Jagiellonian University
- KU LEUVEN
- Karlsruhe Institute of Technology •
- Kingston University
- Lietuvos istorijos institutas
- Ludwig-Maximilians-Universität München •
- Malopolska Centre of Biotechnology
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- National Research Council Canada
- Nord University
- Queensland University of Technology
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- SciLifeLab
- TU Dresden
- Technical University Of Denmark
- Technische Universität Berlin •
- Trinity College Dublin
- UCL
- Umeå universitet
- University of Alaska
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Basel
- University of British Columbia
- University of Greenwich
- University of Groningen; Groningen
- University of Münster •
- University of Oslo
- 90 more »
- « less
-
Field
-
principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put
-
laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing
-
lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
-
for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness
-
scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
-
propellant space propulsion systems. A significant limiting factor of hybrid propulsion systems is the continuous change in surface area of the propellant grain during the combustion process. This changing O/F
-
? No Offer Description This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University
-
Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
-
Sadron Institute. The team works on themes related to the process-structure-property correlations of pi-conjugated materials for applications in organic electronics. The SYCOMMOR team has particular
-
learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated