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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number EU MCSA-DN prosjekt Switchfloc Is the Job related to
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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for admission to the faculty's Doctoral Programme in Engineering PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made
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of Informatics. Starting date as soon as possible.The fellowship period is three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended for either
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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meet the requirements for admission to the NV faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Competence in programming (e.g. Python or similar). Good oral and written presentation skills in
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over