Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Oslo
- Harvard University
- Nature Careers
- ;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- Imperial College London
- Singapore Institute of Technology
- University of Michigan
- AbbVie
- Indiana University
- KINGS COLLEGE LONDON
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Alabama
- The University of Queensland
- University of Birmingham
- University of British Columbia
- Monash University
- RCSI - Royal College of Surgeons in Ireland
- University of Bergen
- University of Texas at Austin
- King's College London
- University of New South Wales
- Curtin University
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Nottingham
- University of South Carolina
- University of South-Eastern Norway
- University of Waterloo
- Zintellect
- Australian National University
- Carnegie Mellon University
- FCiências.ID
- Johns Hopkins University
- LINGNAN UNIVERSITY
- Loyola University
- Macquarie University
- Nova School of Business and Economics
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- RMIT UNIVERSITY
- Simons Foundation
- Stanford University
- Stockholms universitet
- University of Agder
- University of Leeds
- University of London
- University of Michigan - Ann Arbor
- University of Southampton;
- University of Sydney
- Western Norway University of Applied Sciences
- ; University of Oxford
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Arizona State University
- Auburn University
- Brunel University
- CRANFIELD UNIVERSITY
- CSIRO
- City of Hope
- Colorado State University
- Cornell University
- Duke University
- EMBL-EBI - European Bioinformatics Institute
- Emory University
- Genentech
- George Mason University
- Hospital de Câncer de Barretos
- Humboldt-Stiftung Foundation
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Koziarski Lab - The Hospital for Sick Children
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- Montana State University
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- New York University
- OCAD University
- Politécnico de Leiria
- Queen's University Belfast
- Queen's University Belfast;
- RMIT University
- Rudjer Boskovic Institute
- Ryerson University
- SUNY University at Buffalo
- Saint Louis University
- School of Sciences
- SciLifeLab
- Tallinn University
- Technical University of Denmark
- Trinity College Dublin
- Tufts University
- UCL;
- UNIVERSITY OF ADELAIDE
- 90 more »
- « less
-
Field
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In addition to your research leadership, you will play a
-
experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
-
to undertake world-leading research in the design, integration and Edge-implementation/testing of multimodal machine learning models. Your experience in real-time implementation of federated AI and Edge-based
-
to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
-
diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
-
antigens, T cell receptor (TCR) and antigen interactions and their crucial role in anti-cancer immune responses. You'll leverage your strong background in computational biology, machine learning, and
-
. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
-
. The Postdoctoral Fellow will hold a PhD or equivalent degree (e.g., ScD, MD, DVM, DrPH). Under the guidance of Dr. William Pan, the Postdoctoral Fellow will perform full-time, independent research, consistent with
-
machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful