Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- Technical University of Denmark
- University of Groningen
- DAAD
- CNRS
- NTNU - Norwegian University of Science and Technology
- SciLifeLab
- Curtin University
- Technical University of Munich
- Chalmers University of Technology
- Leiden University
- Delft University of Technology (TU Delft)
- IMT Atlantique
- Radboud University
- Inria, the French national research institute for the digital sciences
- ; University of Leeds
- Monash University
- Swinburne University of Technology
- University of Antwerp
- ; University of Plymouth
- Karolinska Institutet
- Leibniz
- RMIT University
- Swansea University
- University of Cambridge
- University of Luxembourg
- University of Nottingham
- University of Utah
- ; University of Sussex
- Biology Centre CAS
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Umeå University
- Universität Hamburg •
- ; Manchester Metropolitan University
- ; The University of Manchester
- ; University of Warwick
- AcademicTransfer
- Amsterdam UMC
- Canadian Association for Neuroscience
- Carnegie Mellon University
- Cranfield University
- ETH Zurich
- ETH Zürich
- East Carolina University
- Foundation for Research and Technology-Hellas
- Fraunhofer-Gesellschaft
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- ICN2
- Institut Pasteur
- Institute of Molecular Genetics of the Czech Academy of Sciences
- International PhD Programme (IPP) Mainz
- KU Leuven
- Linköping University
- Mälardalen University
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Adelaide
- University of Bergen
- University of Central Florida
- University of Copenhagen
- University of Oslo
- University of Twente
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- ; Anglia Ruskin University
- ; Aston University
- ; Loughborough University
- ; Newcastle University
- ; Swansea University
- ; UCL
- ; University of Birmingham
- ; University of Cambridge
- ; University of Exeter
- ; University of Hull
- Aalborg University
- Academic Europe
- Advanced Research Center for Nanolithography ARCNL
- Brookhaven Lab
- Bruker Nano GmbH
- CNRS (Centre national de la Recherche Scientifique)
- Case Western Reserve University
- Center for Neuroplasticity and Pain (CNAP), Aalborg University
- Centre of Excellence for advanced materials application SAS, CEMEA
- Charles University, Faculty of Mathematics and Physics
- Claremont Graduate University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- DWI-Leibniz-Institute für Interaktive Materialien e.V.
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Empa
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Medical Center
- FEUP
- Faculdade de Ciências da Universidade de Lisboa
- Ghent University
- 90 more »
- « less
-
Field
-
necessary or desired background A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Medical imaging, computer science & IT, AI
-
background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
-
real-time during behavioural tasks Integrating virtual reality paradigms with behaviour and imaging to assess decision-making processes Exploring potential therapeutic interventions for NMDA receptor
-
manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
-
Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
-
lives, appearing in processes such as in additive manufacturing, the Earth’s atmosphere, and inkjet/biomaterial printing. The key to understanding (and ultimately engineering) these applications is how
-
, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
-
15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
-
Informatics and Image Analysis at the Department of Health Science and Technology, along with Steno Diabetes Center North Denmark. The successful candidate is expected to hold: A master’s degree in clinical
-
sensors to understand their local surroundings at sea and inform optimal action. To ensure safety requires the ability to reliably detect, image and recognise their environment, in terms of surrounding sea