Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- University of Oslo
- Yale University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Texas at Dallas
- CNRS
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Heriot Watt University
- Inria, the French national research institute for the digital sciences
- Nanyang Technological University
- SUNY University at Buffalo
- Universidade de Coimbra
- Universidade do Minho
- University of Crete
- ;
- ADELAIDE UNIVERSITY
- Chalmers University of Technology
- Chapman University
- Computer Vision Center
- Dalhousie University
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- Eindhoven University of Technology (TU/e)
- Escola Superior de Saúde do Politécnico do Porto
- Fundació per a la Universitat Oberta de Catalunya
- Georgia Southern University
- HONG KONG BAPTIST UNIVERSITY
- Harvard University
- INESC ID
- Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA)
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- KU Leuven
- King's College London
- LINGNAN UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- NTNU Norwegian University of Science and Technology
- Royal College of Art
- Stanford University
- Technical University of Munich
- The Cyprus Institute
- Télécom Paris
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University of Florida
- University of Glasgow
- University of Luxembourg
- University of Minho
- University of Nevada, Reno
- University of Southern California
- University of Southern California - Center for Craniofacial Molecular Biology
- University of Texas at Austin
- University of Turku
- University of Zilina
- Université Grenoble Alpes
- Utrecht University
- York St John University
- Zintellect
- universitypositions
- 46 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
-
on development of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team
-
Research Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will work on the "TWIN-X: Multimodal Digital
-
responsible for teaching in the following areas: introduction to civil engineering (first-year Bachelor's level), computer-aided design and digital modeling (CAD, Revit), structural analysis and strength
-
, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not
-
University of Southern California - Center for Craniofacial Molecular Biology | Los Angeles, California | United States | about 2 months ago
, Tissue microarray, and Digital image analysis. The annual base salary range for this position is $70,304 - $72,500. When extending an offer of employment, the University of Southern California considers
-
post-processing and analysis of different cardiac imaging studies. Strict collaboration with the technical researchers of the cardiovascular imaging Unit. Where to apply Website https://jobs.vhir.org
-
on extending interoperability for Digital Twins in process control and implementing prototype solutions for piloting in real-world industrial environments. Visit the AU website to learn more about this research
-
: Psychiatry Group or Departmental Website: https://stai.stanford.edu(link is external) https://neuroailab.stanford.edu/(link is external) https://neuroscience.stanford.edu/(link is external) Does this position
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials