Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- ;
- University of Oslo
- Harvard University
- Nature Careers
- University of British Columbia
- Zintellect
- University of Bergen
- Singapore Institute of Technology
- Monash University
- Hong Kong Polytechnic University
- Indiana University
- University of Birmingham
- University of South-Eastern Norway
- Imperial College London
- Northeastern University
- University of Michigan
- AbbVie
- Carnegie Mellon University
- City of Hope
- Johns Hopkins University
- The University of Queensland
- University of Cincinnati
- Genentech
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- University of Texas at Austin
- Australian National University
- Binghamton University
- Bowdoin College
- George Mason University
- King Abdullah University of Science and Technology
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Alabama
- University of Adelaide
- University of New South Wales
- University of Nottingham
- Western Norway University of Applied Sciences
- CRANFIELD UNIVERSITY
- KINGS COLLEGE LONDON
- Medical College of Wisconsin
- Montana State University
- New York University
- Simons Foundation
- The University of Southampton
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Alabama, Tuscaloosa
- University of North Carolina at Charlotte
- University of Oxford
- University of Stavanger
- University of Texas Rio Grande Valley
- University of Waterloo
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Auburn University
- Barnard College
- Brunel University
- Central Michigan University
- Colorado State University
- Curtin University
- Georgetown University
- James Madison University
- Korea Institute for Advanced Study
- Miami University
- NTNU - Norwegian University of Science and Technology
- Open Society Foundations
- RMIT University
- Ryerson University
- Saint Louis University
- SciLifeLab
- Simons Foundation/Flatiron Institute
- Stanford University
- The University of Memphis
- University of Bristol
- University of Melbourne
- University of Michigan - Ann Arbor
- University of Rhode Island
- University of South Carolina
- Aalborg University
- American University
- Arizona State University
- Bard College
- Birmingham City University
- Boston College
- Bucknell University
- Chippewa Valley Technical College
- Cornell University
- Cranfield University
- Dana-Farber Cancer Institute
- Deakin University
- Emory University
- Florida Atlantic University
- Humboldt-Stiftung Foundation
- Institut national de la recherche scientifique (INRS)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KEK
- LINGNAN UNIVERSITY
- La Trobe University
- 90 more »
- « less
-
Field
-
findings into manuscripts for peer-reviewed journals. Learning Objectives: Throughout the course of this research project, the participant will have the opportunity to explore the latest trends and research
-
work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
-
methods to economic and environmental problems; Knowledge of STATA, R, Python and/or other relevant programming skills for undertaking applied analysis (e.g. machine learning) and handling large
-
thrombosis and lung injury in Sickle Cell Disease. The prospective candidate will have the opportunity to learn state-of-the-art techniques such as Multi-Photon-Excitation intravital microscopy of the lung and
-
engineering science, with knowledge and/or some experience of energy technology and policy; and/or quantitative analysis including econometrics, statistics and machine learning and related disciplines handling
-
changes and established markers for Alzheimer's disease. The project may also include machine learning methods to estimate individuals' biological age. The project is based on existing data from a prominent
-
annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
-
, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
-
Associate/Research Fellow with expertise in Artificial Intelligence (AI)/Machine Learning (ML), pedagogical research in Institutes of Higher Learning (IHLs), and web/mobile application development (both
-
, engineering, finance, and health. Key Responsibilities: To perform the pioneer research in AI for climate transformation. To further develop data-driven and machine learning tasks for fighting climate changes