Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- University of Bergen
- ;
- National University of Singapore
- Harvard University
- Hong Kong Polytechnic University
- University of Cincinnati
- Northeastern University
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of British Columbia
- Carnegie Mellon University
- Singapore Institute of Technology
- University of Texas at Austin
- George Mason University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Simons Foundation
- University of Michigan
- University of Nottingham
- University of South-Eastern Norway
- Genentech
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Simons Foundation/Flatiron Institute
- UNIVERSITY OF SURREY
- University of Bristol
- University of Maryland, Baltimore
- University of Surrey
- University of Waterloo
- ; Technical University of Denmark
- AbbVie
- Australian National University
- Central Queensland University
- City of Hope
- Curtin University
- ETH Zurich
- Florida Atlantic University
- Institut national de la recherche scientifique (INRS)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Marquette University
- Monash University
- Montana State University
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The Ohio State University
- The University of Queensland
- UiT The Arctic University of Norway
- University College Cork
- University of Adelaide
- University of Agder
- University of Alabama, Tuscaloosa
- University of Ljubljana
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Oxford
- University of San Francisco
- Western Norway University of Applied Sciences
- 53 more »
- « less
-
Field
-
the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity to shape the renewable energy management system by developing novel real-time control
-
development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
-
and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design. The postdoc is intended to work with closely with Minlan
-
and either developing algorithms and data structures or using existing, underutilized results from the theoretical literature in system design. The postdoc is intended to work with closely with Minlan
-
innovative material solutions. This project tackles this challenge head-on. The project vision is to develop a pioneering AI-driven methodology for designing Functionally Graded Materials (FGMs) specifically
-
. To explore and investigate this topic, the project will combine formal methods, programming language theory and semantic technologies, aiming to develop systematic techniques for handling protected data
-
efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
-
programming and data analysis. Interest in developing methods, algorithms or software. Evidence of publications in high-quality peer-reviewed journals. Excellent communication skills. Experience
-
) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
-
only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of