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proposed research focus and potential field site(s). The proposal must include a progress plan. About the position The position contributes to the project’s Work Package on China’s Health Diplomacy and the
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
, infrastructure, and zoonotic risk in Asia (e.g. Pakistan, Mongolia and Kazakhstan) – a region connected to the Belt and Road Initiative. This work package examines how BRI investments reshape livestock farming
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staff in the Sorger lab and the broader Laboratory of Systems Pharmacology (LSP) are currently making use of interactive visualization as part of their own research, this role has strong opportunities
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within the centre. You will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs Jarli & Jordan/ UiO via
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, Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data , Large Language
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(preferably in R and/or Python). b) Preferential factors: Familiarity with spatial data analysis and/or Machine Learning methods will be valued. Workplan and objectives to be achieved: The work plan aims
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progress reports on the ongoing thesis project and work constructively towards collectively defined research goals The position is at the Visual Intelligence research centre, and the intended workplace is at
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’ fellowships”. Website for additional job details https://www.it.pt/Positions/OtherResearchPosition/8298 Work Location(s) Number of offers available1Company/InstituteInstituto de Telecomunicações
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university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work
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modelling, simulation, and visualization functionalities, as planned in the European project ARTEMIS - Applying Reactive Twins to Enhance Monument Information Systems. Activities may include designing and