Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Oslo
- INESC TEC
- Zintellect
- Harvard University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Stavanger
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- UiT The Arctic University of Norway
- University of Bergen
- University of North Carolina at Charlotte
- University of South-Eastern Norway
- Carnegie Mellon University
- Center for Drug Evaluation and Research (CDER)
- Cornell University
- DAAD
- Dana-Farber Cancer Institute (DFCI)
- INESC ID
- Macquarie University
- Max-Planck-Institut für Bildungsforschung
- Mayo Clinic
- Queen's University Belfast
- Ryerson University
- Tampere University
- The Francis Crick Institute;
- University of Agder
- University of British Columbia
- University of California
- University of London
- University of Maryland, Baltimore
- University of New South Wales
- University of Texas at Austin
- Virginia Tech
- 24 more »
- « less
-
Field
-
. This project aims to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile
-
, process optimization, and project management. Key Responsibilities Lead and manage applied food processing related research projects in collaboration with Principal Investigators, Co-PIs, and industry
-
green energy systems design, modelling, analysing the inertia impact on the next-gen transmission and distribution grid network Expertise in EMT & RMS Modelling tools such as PSCAD, DigiSilent
-
the research area where required. Lead the synthesis, functionalization, and intercalation of graphene and graphene-oxide materials including optimizing morphology, defect chemistry, and interlayer spacing
-
cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
-
Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
-
CHILD-BRIGHT is a pan-Canadian patient-oriented research (POR) network that focuses on creating brighter futures for children with brain-based developmental disabilities (BDD) and their families
-
communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics
-
; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
-
regulatory networks associated with muscle aging, sarcopenia, and cancer cachexia. The Research Fellow will play a key role in driving computational and data-driven biomedical research, contributing