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packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities and academic and industrial secondments. The position is allocated
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experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment. Our research focuses primarily on substance use disorders and
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of the CTAO medium sized telescope (MST) pathfinders to be deployed in Chile. Specifically, the candidate shall work in the areas of performance measurements, data analysis and simulation models. Besides
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between ocean circulation and biogeochemical cycling in modulating marine ecosystem responses to global warming. The work will provide an opportunity to develop model simulations, contribute to both
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comprehensive validation framework will be established, beginning with offline simulations using detailed distribution network models to test and benchmark the proposed control strategies. These developments will
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. We aim to develop mechanistic models of severe mental illness, integrating clinical, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been
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cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home We are looking for an enthusiastic, ambitious and experienced researcher to join the research team
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; - Ciência ID: https://www.ciencia-id.pt/CienciaID/HomePage.aspx 13.Fellowship Agreement model: After the candidate selection and all information is received, it will be signed a fellowship agreement in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
Fellow to work on the project entitled ‘Small-area attitude mapping’ which involves the compilation of Australia attitudinal survey information, small-area modelling of demographic characteristics, and
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will join Prof. Annika Schoene’s research group (https://meronymlabs.com/) in Charlotte, North Carolina, and contribute to research at the intersection of NLP methods, AI safety, and high-risk