Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Zintellect
- Nanyang Technological University
- University of Oslo
- Harvard University
- Center for Drug Evaluation and Research (CDER)
- University of Michigan
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- Monash University
- City of Hope
- University of British Columbia
- Nature Careers
- University of Sydney
- Indiana University
- Macquarie University
- University of Oxford
- Carnegie Mellon University
- Center for Biologics Evaluation and Research (CBER)
- University of Bergen
- University of Birmingham
- University of Texas at Austin
- Hong Kong Polytechnic University
- University of New South Wales
- CRANFIELD UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- Deakin University
- Flinders University
- The University of Queensland
- University of Leeds
- Queen's University Belfast;
- The University of Southampton
- University of Nottingham
- Center for Devices and Radiological Health (CDRH)
- Cranfield University
- Cranfield University;
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Singapore University of Technology & Design
- Trinity College Dublin
- UCL;
- University of Maryland, Baltimore
- University of South-Eastern Norway
- Cornell University
- King Abdullah University of Science and Technology
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Missouri University of Science and Technology
- Office of Women's Health Grant Program (OWH GP)
- Ryerson University
- UNIVERSITY OF MELBOURNE
- University of California
- University of Kansas Medical Center
- University of London
- University of Otago
- University of St Andrews;
- Villanova University
- Auburn University
- James Cook University
- King's College London;
- The University of Alabama
- UNIVERSITY OF SURREY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Brighton
- University of Exeter;
- University of Hertfordshire;
- University of North Carolina at Charlotte
- University of Oxford;
- University of Stavanger
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Brandeis University
- Brown University
- CSIRO
- Case Western Reserve University
- Cedars Sinai Medical Center
- Colgate University
- De Montfort University;
- Duke University
- Emory University
- Imperial College London
- Lawrence Berkeley National Laboratory
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- The California State University
- The University of Iowa
- The University of Western Australia
- Tulane University
- UiT The Arctic University of Norway
- University of Agder
- University of Birmingham;
- University of Lund
- University of Stirling;
- University of Surrey
- University of Virginia
- University of the West of England
- Vanderbilt University
- Warwick Business School, The University of Warwick;
- 90 more »
- « less
-
Field
-
the use of modern machine‑learning methods within applied mathematics—particularly physics‑informed learning, anomaly detection, data‑driven modelling, and the construction of surrogate models grounded in
-
, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
-
frameworks for advanced property prediction and analysis of inorganic disordered materials. Carry out machine-learning based first-principle calculations aimed at advancing the understanding defect-based
-
of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and
-
that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
-
Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
-
, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
-
proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
-
of childhood allergic diseases. The candidate will develop machine learning–based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes
-
for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning