Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Zintellect
- University of Bergen
- University of British Columbia
- Northeastern University
- Harvard University
- National University of Singapore
- CRANFIELD UNIVERSITY
- INESC TEC
- University of Birmingham
- City of Hope
- Indiana University
- Loyola University
- The University of Queensland
- University of Arkansas
- University of California
- University of New South Wales
- Aarhus University
- Carnegie Mellon University
- Ellison Institute of Technology
- Hong Kong Polytechnic University
- LINGNAN UNIVERSITY
- Monash University
- Plymouth University
- UCL;
- Universidade do Minho
- University of Nottingham
- Barnard College
- Center for Drug Evaluation and Research (CDER)
- Dana-Farber Cancer Institute (DFCI)
- European Space Agency
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King's College London
- Lawrence Berkeley National Laboratory
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Simons Foundation;
- University of Agder
- University of Beira Interior
- University of Colorado
- University of Denver
- University of Kansas Medical Center
- University of Manchester
- University of Michigan
- University of Minho
- University of South Carolina
- University of South-Eastern Norway
- University of Stavanger
- University of Sydney
- University of Texas at Austin
- University of the West of England
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Birkbeck University of London
- Birkbeck, University of London;
- CIC bioGUNE
- Center for Biologics Evaluation and Research (CBER)
- Cranfield University
- Dalhousie University
- Duke University
- Durham University
- ETH Zürich
- Francis Crick Institute
- Georgia Southern University
- Humboldt-Universität zu Berlin
- INESC ID
- Imperial College London
- Indiana State University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Marquette University
- Max-Planck-Institut für Bildungsforschung
- Mayo Clinic
- Middlesex University
- Middlesex University;
- Montana State University
- NTNU
- OCAD University
- Office of the Commissioner (OC)
- RMIT UNIVERSITY
- RMIT University
- SUNY University at Buffalo
- SciLifeLab
- Simons Foundation/Flatiron Institute
- Singapore University of Technology & Design
- St Jude Children's Research Hospital
- The Francis Crick Institute;
- The Institute of Cancer Research;
- Tohoku University
- Trinity College Dublin
- UCL EE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UNIVERSITY OF SURREY
- UNIVERSITY OF SYDNEY
- UiT The Arctic University of Norway
- 90 more »
- « less
-
Field
-
interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
-
; cost, carbon or sustainability optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant
-
Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents
-
an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
-
scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
-
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
-
optimisation; uncertainty and sensitivity analysis; and machine learning or AI-supported optimisation. Strong analytical and programming skills are essential. Relevant experience may include tools and languages
-
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
-
premier source for data and information on the science and engineering enterprise? Do you want to learn from top researchers and subject matter experts in data analysis, statistics, economics, science
-
coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge