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 Michigan
- Cornell University
- University of Birmingham
- University of New South Wales
- University of Texas at Austin
- CRANFIELD UNIVERSITY
- City of Hope
- Durham University
- Northeastern University
- University of Algarve
- Zintellect
- Barnard College
- Dana-Farber Cancer Institute (DFCI)
- Ellison Institute of Technology
- Imperial College London
- Indiana University
- LINGNAN UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- Singapore University of Technology & Design
- UCL;
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- 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
- King's College London
- Loyola University
- Macquarie University
- Monash University
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- The University of Manchester;
- 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
- Lingnan University, Hong Kong;
- 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
- Queen's University Belfast
- 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;
- 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 Exeter;
- University of Glasgow
- University of Hertfordshire;
- 90 more »
- « less
-
Field
-
dataset analysis, machine learning tools, and relevant computational biology approaches • Document, compile, and format data analysis in presentations and reports to supervisor. • Mentors and trains
-
acquired across multiple anatomical regions to form a patient-level assessment. This PhD project will investigate novel deep learning methodologies that jointly model anatomical structure and prediction
-
projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
-
assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in
-
Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
-
-quality research using large-scale healthcare datasets, applying statistical, machine learning and natural language processing methods to address clinically relevant questions. The role will contribute
-
the assembly, management, and analysis of complex datasets, including the application of machine learning techniques to develop a range of models such as predictive and image-recognition models. A key aspect of
-
good academic publication record Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc. Good to have knowledge of network analysis, machine learning, neural
-
extensive knowledge of robotic navigation, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and
-
mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving