590 computer-science-intern "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral positions in United Kingdom
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the long twentieth century (1890s-2020s). The project team will explore the historical engagements, collaborations and frictions between conservation theories and practices and international, global, and
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. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience
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national biodiversity indicators with international impacts. You will have advanced skills and knowledge of statistical analysis, research computing and Geographic Information Systems in relation
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to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences, decision-maker education campaigns, and training
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institution. We offer a supportive working environment, excellent facilities, and opportunities for professional development within a diverse and international community. The Opportunity: This is an Academic
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opportunity to work on the extremely timely “TWISST: Terahertz wave induced spin switching technology” project. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic
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Martin AI Governance Initiative (AIGI Oxford) seeks to improve the impact of AI on global societal outcomes through impactful research that is rigorously grounded in the social and computational sciences
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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MRI (fMRI), functional Ultrasound Imaging (fUSi) and computational modelling of emotion-related behaviours. This is an exceptional opportunity to develop your research portfolio within a team of
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and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics