331 computer-programmer-"Prof"-"Embry-Riddle-Aeronautical-University"-"Prof" positions in Norway
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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 dine på
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contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably uploaded as a separate attachment, maximum 4 pages) transcripts and diplomas. If you have
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applicant's research interests and motivation for applying for the position. the names and contact information for two referees. One of these should be the main advisor from the PhD programme. CV (preferably
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the candidate is admissible to UiA’s PhD programme at the Faculty of Social Sciences , and that the Department of Sociology and Social Work or CeDIT currently has a thematically relevant advisor available
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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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competitive salary. Nursery places are guaranteed and reasonably priced. relocation programme Diversity Diversity is a resource in the working and learning environment at UiS. When we have different backgrounds
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mobiltelefonen din. En cookie er ikke 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
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relevant for the research program outlined above with a strong background in nuclear structure physics of exotic nuclei Expertise in scientific computing, including proficiency in C++ or Python programming
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An exciting job with an important social mission Developing tasks in a strong and international professional environment Career guidance throughout the postdoctoral program and together with you we will prepare
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image