Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Denmark
- University of Twente
- Nature Careers
- Rutgers University
- Heriot Watt University
- European Space Agency
- KINGS COLLEGE LONDON
- Technical University of Munich
- University of London
- University of Southern Denmark
- ;
- ; University of Southern Denmark
- Aarhus University
- Argonne
- Brookhaven Lab
- Cornell University
- King Abdullah University of Science and Technology
- King's College London
- McGill University
- Michigan Technological University
- Pennsylvania State University
- San Diego State University
- UNIVERSITY OF HELSINKI
- University of Basel
- University of Birmingham
- University of California, Los Angeles
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Oslo
- University of Utah
- Wayne State University
- Western Norway University of Applied Sciences
- 23 more »
- « less
-
Field
-
, you will play a central role in developing and validating a novel control strategy for bionic limbs based on real-time ultrasound imaging. Your key responsibilities will include: Designing and
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
imaging, and structured electronic health record (EHR) data. The postdoctoral researcher will work closely with the Director for Cardiovascular Artificial Intelligence Research and contribute to the design
-
detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
-
-Watt have a long–standing track record in researching ground-breaking single photon detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode
-
take place in the week of September 1. Expected starting date is mid-October, 2025. Screening is part of the selection procedure. Applications should include the following documents: A video (2-minute max
-
microscopy and imaging. High level analytical capability and understanding of the scientific process. Independent intellectual critical thinking skills. Ability to communicate complex information clearly
-
responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
-
(CIL) and contribute to open-source reproducible research. Together, we aim to push the boundaries of mathematical imaging data science, materials science and digital building technology
-
) for a Data-Driven Energy Transition (D2ET). This initiative aims at supportingLuxembourg's energy transition through a nation-wide digital platform, built together with public and private stakeholders in
-
robust 3D imaging technique suitable across diverse scientific communities. This project has two interconnected aims. The first is to create an accurate “digital twin” of the experiment through end-to-end