Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- Swinburne University of Technology
- Technical University of Denmark
- ;
- Nature Careers
- SciLifeLab
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- Chalmers University of Technology
- Cranfield University
- University of Twente
- ; The University of Manchester
- University of Antwerp
- ; University of Leeds
- DAAD
- ETH Zurich
- Monash University
- RMIT University
- ; Swansea University
- ; University of Birmingham
- ; University of Warwick
- Aalborg University
- CWI
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- KNAW
- Leibniz
- Linköping University
- Lulea University of Technology
- Umeå University
- University of Groningen
- University of Luxembourg
- University of Oslo
- ; Cranfield University
- ; Durham University
- ; University of Oxford
- ; University of Reading
- Ariel University
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Empa
- Forschungszentrum Jülich
- ICN2
- Institut Pasteur
- Institute of Photonic Sciences
- Karlsruhe Institute of Technology •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Mälardalen University
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- The Norwegian School of Sport Sciences
- The University of Newcastle
- Trinity College Dublin
- University of Adelaide
- University of Alaska
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- University of Lund
- University of Nottingham
- University of Southern Denmark
- University of Southern Queensland
- University of Stuttgart •
- University of Vienna
- VIB
- Vrije Universiteit Brussel
- Østfold University College
- 60 more »
- « less
-
Field
-
, sports, food safety, and environmental monitoring. By integrating electrochemical techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María
-
described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
-
, Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) . This project is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and
-
, machine learning, electrical engineering, or a related field. The ideal candidate will have some of the following skills such as: Computer vision and machine learning: A solid understanding of image and
-
highly motivated Doctoral Research Fellow in a full time (100 %) fixed term position available for three (3) years at the Faculty of Computer Science, Engineering and Economics, Department
-
of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of
-
Technology, Campus Norrköping. Your work assignments This position is motivated by the need for reliable visualization and data analysis methods that support understanding of the increasing amount
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
-
to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of