Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Zintellect
- National University of Singapore
- Nature Careers
- Universidade de Coimbra
- University of Bergen
- University of British Columbia
- Cornell University
- INESC ID
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- Indiana University
- University of Michigan
- OsloMet
- UCL;
- University of Birmingham
- University of Stavanger
- Carnegie Mellon University
- Center for Drug Evaluation and Research (CDER)
- Johns Hopkins University
- RMIT UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Texas at Austin
- Hong Kong Polytechnic University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- King Abdullah University of Science and Technology
- LINGNAN UNIVERSITY
- LNEC, I.P.
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- Northeastern University
- The University of Queensland
- Trinity College Dublin
- University of London
- ;
- CSIRO
- Centro de Engenharia Biológica da Universidade do Minho
- City of Hope
- Cranfield University
- Humboldt-Universität zu Berlin
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Instituto de Telecomunicações
- Monash University
- NTNU Norwegian University of Science and Technology
- New York University
- Princeton University
- Queen's University Belfast;
- Singapore University of Technology & Design
- The University of Memphis
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Basel
- University of Lund
- University of Minho
- University of North Carolina at Charlotte
- University of South Carolina
- University of South-Eastern Norway
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- AbbVie
- Academia Sinica
- American University
- Amgen
- Barnard College
- CMI - Chr. Michelsen Institute
- CRANFIELD UNIVERSITY
- Center for Biologics Evaluation and Research (CBER)
- Center for Devices and Radiological Health (CDRH)
- Central Michigan University
- Chippewa Valley Technical College
- Dana-Farber Cancer Institute
- Duke University
- Emory University
- European Space Agency
- FCiências.ID
- Florida Atlantic University
- George Mason University
- Hobart and William Smith Colleges
- INESC TEC
- Institute of Computer Science CAS
- Instituto Pedro Nunes
- Instituto Superior Técnico
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- James Cook University
- KEK
- King's College London
- King's College London;
- Lawrence Berkeley National Laboratory
- London School of Hygiene & Tropical Medicine;
- Lunds universitet
- Manchester Metropolitan University
- Montana State University
- Nansen Environmental and Remote Sensing Center
- National Laboratory of Energy and Geology
- OCAD University
- Politécnico de Leiria
- 90 more »
- « less
-
Field
-
assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
-
. Develop skills in coupling crop and hydrology models at watershed scales. Gain experience validating models using large, multi-source datasets. Learn to apply high-performance computing and machine learning
-
, modulation instability, and supercontinuum generation. Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes
-
to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
-
for multivariate analysis and machine learning, ensuring high-quality metadata, traceability and reproducibility. Building on this data foundation, the Fellow will develop hybrid modelling tools that integrate
-
causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
-
combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
-
. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
-
to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
-
., machine learning, data science, computer science, biostatistics, epidemiology, or another quantitative field), and applied experience in machine learning, with extensive hands-on experience of model