Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Bergen
- University of Oslo
- University of British Columbia
- Imperial College London
- Nature Careers
- University of South-Eastern Norway
- Zintellect
- ;
- UiT The Arctic University of Norway
- University of Birmingham
- University of Michigan
- University of Stavanger
- City of Hope
- Dalhousie University
- King's College London
- NTNU - Norwegian University of Science and Technology
- AbbVie
- Auburn University
- Australian National University
- Durham University
- FEUP
- Georgetown University
- Humboldt-Universität zu Berlin
- Institute of Physical Chemistry, Polish Academy of Sciences
- KINGS COLLEGE LONDON
- King Abdullah University of Science and Technology
- Missouri University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Nottingham Trent University
- Queen's University
- Queen's University Belfast
- Queen's University Belfast;
- Queensland University of Technology
- Tampere University
- The Norwegian Polar Institute
- UNIVERSITY OF WESTERN AUSTRALIA
- Universidade de Coimbra
- University of Inland Norway
- University of Nottingham
- University of Oldenburg
- University of Stirling
- Western Norway University of Applied Sciences
- 33 more »
- « less
-
Field
-
tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 15 hours ago
at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
-
blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
-
is part of a broader research initiative encompassing fundamental studies of nonlinear quantum light–matter interactions leading to the realization of quantum photonic neural networks. The successful
-
, cognitive neuroscience, and data science, our mission is to better understand the network structure of the human brain and how it contributes to cognition, aging, and mental health. Job description
-
of a Research Fellowship within the scope of the project “URBAN-NET: Intelligent Networks for Carbon-Neutral and Sustainable Cities”, with operation code NORTE2030-FEDER-02697300, co-financed by NORTE
-
blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
-
(EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community
-
networks and performing GRN inference, Single-cell RNA-seq, perturb-seq, and/or other transcriptomic analysis, Next generation sequencing and bioinformatics analysis, Machine learning/AI; making, evaluating
-
Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0098 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete