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
- University of British Columbia
- University of Nottingham
- University of Manchester
- The University of Queensland
- Cornell University
- University of Birmingham
- University of Michigan
- University of New South Wales
- CRANFIELD UNIVERSITY
- City of Hope
- Northeastern University
- University of Algarve
- University of Texas at Austin
- Zintellect
- Barnard College
- Dana-Farber Cancer Institute (DFCI)
- Durham University
- Ellison Institute of Technology
- Indiana University
- Monash University
- Singapore University of Technology & Design
- UCL;
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University of Nottingham;
- University of Sydney
- ;
- Aarhus University
- Carnegie Mellon University
- Cranfield University
- European Space Agency
- Francis Crick Institute
- Hong Kong Polytechnic University
- INESC TEC
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Johns Hopkins University
- King's College London
- LINGNAN UNIVERSITY
- Loyola University
- Macquarie University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Simons Foundation;
- The University of Manchester;
- Universidade do Minho
- University of Agder
- University of Cambridge;
- University of Colorado
- University of Kansas Medical Center
- University of Sheffield
- University of South-Eastern Norway
- University of Stavanger
- University of the West of England
- 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
- RMIT UNIVERSITY
- RMIT University
- 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 Institute of Cancer Research;
- The University of Southampton
- UCL EE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SYDNEY
- University of Alabama, Tuscaloosa
- 90 more »
- « less
-
Field
-
, fabrication materials and orbital environments. Using a small number of representative test cases, we will trial Machine Learning-based predictive methods to estimate material condition and indicative reuse
-
individuals participating in studies investigating the cardiovascular consequences of preterm birth. By combining fluid dynamics, machine learning, and advanced imaging analysis, the project seeks to develop
-
be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
-
applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
-
, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical
-
within the Division of Artificial Medical Intelligence of Department of Ophthalmology in the University of Colorado School of Medicine. We focus broadly on quantitative and machine learning techniques in
-
knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
-
single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
-
limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
-
Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning