Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- VIB
- Hannover Medical School •
- University of Antwerp
- ;
- ; City St George’s, University of London
- Erasmus MC (University Medical Center Rotterdam)
- Leibniz
- Swinburne University of Technology
- Technical University of Munich
- The University of Iowa
- University of Nottingham
- University of Southern Denmark
- University of Twente
- University of Utah
- Uppsala universitet
- ; St George's, University of London
- ; Swansea University
- Aalborg University
- CNRS
- COFAC
- Curtin University
- DAAD
- Delft University of Technology (TU Delft)
- Dresden University of Technology •
- Duke University
- Eindhoven University of Technology (TU/e)
- Ghent University
- Human Technopole
- Imperial College London
- Jagiellonian University
- KNAW
- Karlsruhe Institute of Technology •
- Linköping University
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc)
- SciLifeLab
- UiT The Arctic University of Norway
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California, Berkeley
- University of East Anglia
- University of Maryland, Baltimore
- University of Münster •
- University of Tübingen •
- Université Laval
- Vrije Universiteit Amsterdam (VU)
- 40 more »
- « less
-
Field
-
. This position is part of a strategic research collaboration between DTU and the Korea Advanced Institute of Science and Technology (KAIST), combining expertise in biomedical signal processing, neuroengineering
-
radically new paradigm for human control of complex robotic systems with high levels of agency and minimal cognitive effort. The lab is looking for candidates for the following stipend: PhD Stipend: Human
-
detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
-
of vision, embedded electronics, signal and image processing for the joint development of imaging systems and associated methods. Particular emphasis is put on the design of unconventional and multimodal
-
well as with members of the Biomedical Mass Spectrometry and Systems Biology Section at the Department of Biochemistry and Molecular Biology. Lab and Research Environment You will be part of the research group
-
Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
-
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
-
) Project description: The project aims to select and create plants with increased albedo, which is the ability to reflect sunlight. Hyperspectral imaging methods and plant genetic modification will be used
-
about biomedical research or cell biology? Ready to make groundbreaking contributions to understanding ciliopathies through innovative machine learning approaches? Join the Cilia-AI consortium, and embark
-
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