Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- University of Bergen
- The University of Queensland
- University of British Columbia
- University of Manchester
- University of Nottingham
- University of Birmingham
- University of Michigan
- City of Hope
- Cornell University
- University of New South Wales
- University of Texas at Austin
- CRANFIELD UNIVERSITY
- Durham University
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- University of Algarve
- Zintellect
- Barnard College
- Dana-Farber Cancer Institute (DFCI)
- Ellison Institute of Technology
- Imperial College London
- Indiana University
- Singapore University of Technology & Design
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University of Exeter;
- University of Nottingham;
- ;
- Aarhus University
- Carnegie Mellon University
- Cranfield University
- European Space Agency
- Francis Crick Institute
- Hong Kong Polytechnic University
- INESC TEC
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- LINGNAN UNIVERSITY
- Loyola University
- Macquarie University
- Monash University
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- The University of Manchester;
- UCL;
- Universidade do Minho
- University of Agder
- University of Cambridge;
- University of Kansas Medical Center
- University of South-Eastern Norway
- University of Stavanger
- University of Sydney
- University of the West of England
- ADELAIDE UNIVERSITY
- American University
- Birkbeck University of London
- Birkbeck, University of London;
- Center for Biologics Evaluation and Research (CBER)
- Central Michigan University
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- ETH Zürich
- FEUP
- Humboldt-Universität zu Berlin
- INESC ID
- Institute for Basic Science
- King Abdullah University of Science and Technology
- King's College London
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Marquette University
- Max Planck Institutes
- Max-Planck-Institut für Bildungsforschung
- Middlesex University
- Middlesex University;
- Montana State University
- OCAD University
- Oden Institute for Computational Engineering and Sciences
- Research Center for Molecular Medicine (CeMM), ÖAW
- SUNY University at Buffalo
- School of Sciences
- St Jude Children's Research Hospital
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Francis Crick Institute;
- The University of Alabama
- UCL EE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SYDNEY
- University of Alabama, Tuscaloosa
- University of Cambridge
- University of Colorado
- University of Denver
- University of Glasgow
- University of Hertfordshire;
- University of Idaho
- 90 more »
- « less
-
Field
-
with vessel protected volume estimates to identify safety-buffer overlaps, developing multi-agent path-planning, and machine-learning methods for corridor allocation, airspace capacity optimisation, and
-
, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
-
for Science, and scientific discovery by advancing our understanding of interpretable machine learning models and their practical applications in real-world domains such as healthcare and science. Key
-
research. Job Requirements: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in
-
focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
-
for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
-
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
-
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
-
for translatome analysis Expertise in integrating large-scale multiomic datasets, including machine learning based approaches Excellent written communication skills demonstrated by an outstanding publication track
-
: Guide junior researchers and graduate students. Required Knowledge, Skills and Abilities AI/ML Expertise: Strong knowledge of advanced machine learning, deep learning, and AI techniques. Programming