Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- Nature Careers
- Simons Foundation/Flatiron Institute
- University of Bergen
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- Carnegie Mellon University
- NTNU - Norwegian University of Science and Technology
- National University of Singapore
- Northeastern University
- UNIVERSITY OF SURREY
- University of Oslo
- FCiências.ID
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Universidade de Aveiro
- University of Nottingham
- Curtin University
- NTNU Norwegian University of Science and Technology
- Simons Foundation
- UNIVERSITY OF HELSINKI
- University of Algarve
- University of Michigan
- University of Sydney
- Boston College
- City University London
- Cornell University
- Genentech
- Hong Kong Polytechnic University
- Imperial College London
- Instituto Pedro Nunes
- King Abdullah University of Science and Technology
- Korea Institute for Advanced Study
- Lawrence Berkeley National Laboratory
- Macquarie University
- Singapore University of Technology & Design
- The University of Southampton
- UNIVERSITY OF WESTERN AUSTRALIA
- UiT The Arctic University of Norway
- University of Hertfordshire;
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Minho
- University of New South Wales
- University of Texas at Austin
- University of Warwick;
- Aston University
- Atlantic Technological University;
- Boston University
- Cyprus University of Technology
- Embry-Riddle Aeronautical University
- George Mason University
- Indiana University
- Institut national de la recherche scientifique (INRS)
- Instituto Politécnico de Coimbra
- Instituto Superior de Economia e Gestão
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- KEK
- KINGS COLLEGE LONDON
- King's College London
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Leibniz
- Massachusetts Institute of Technology
- Monash University
- Nova School of Business and Economics
- Oak Ridge National Laboratory
- Ohio State University
- Politécnico de Leiria
- RCSI - Royal College of Surgeons in Ireland
- Ryerson University
- Simons Foundation;
- Stanford University
- Stockholms universitet
- The University of Alabama
- The University of Western Australia
- UCL;
- UNIVERSITY OF SYDNEY
- Universidade de Coimbra
- University of Agder
- University of Agder (UiA)
- University of Alabama, Tuscaloosa
- University of British Columbia
- University of California
- University of Cincinnati
- University of Glasgow
- University of Granada
- University of Helsinki
- University of Leeds;
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Nottingham;
- University of Otago
- University of Southampton;
- University of Southern Denmark
- University of Turku
- 86 more »
- « less
-
Field
-
requirements, as well as the design of data models, synchronisation algorithms and analysis and learning models applied to brain and physiological signals. The objectives of this fellowship are: 1. To survey
-
with applications to aerospace systems Designing, implementing, and testing control algorithms in simulation and hardware platforms Contributing to publications and reports; presenting research findings
-
: neuromorphic algorithms, machine learning, classifier development, AI programming Key tasks include experimental and/or computational research, collaboration within the project team, publishing results in high
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
-
industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
-
algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
-
develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
-
, inferential, and multivariate methods, including principal component analysis (PCA), regression, and machine learning algorithms (e.g., Random Forest), with the aim of integrating various environmental exposure
-
(IMI, IMT, IRS, Census) with descriptive methods and causal econometric techniques. It will use various approaches to identify vacant dwellings, including machine learning algorithms to visually detect
-
research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins