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. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate
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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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. via Unsplash Eligibility requirements Applicants must meet the eligibility requirements for the PhD programme. Applicants must normally have completed a five-year Master of Science (MSc) degree in
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, ann.c.leonardsen@hiof.no Faculty of Computer Science, Engineering and Economics Susanne Koch Stigberg , susanne.k.stigberg@hiof.no Faculty of Teacher Education and Languages Øyvind Gjems Fjeldbu , oyvind.g.fjeldbu
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prerequisite that you gain admission to the PhD programme in Medicine and Health Sciences within three months of your employment contract start date, and that you participate in an organized doctoral program
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Applicants must meet the eligibility requirements for the PhD programme. Applicants must normally have completed a five-year Master of Science (MSc) degree in Economics and Business Administration or a
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climate frameworks. Required selection criteria You must have a relevant Master's degree in Climate Sciences, Integrated Assessment Modelling, Industrial Ecology, Energy or Aerospace Engineering, Computer Science
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to the PhD program at the faculty. Personal qualities, ambition and potential will also be taken into account in the assessment of candidates. Please take the time to carefully review all formal requirements
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on the master’s thesis is normally required for admission to the PhD program at the faculty. Personal qualities, ambition and potential will also be taken into account in the assessment of candidates. Please take
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learning, computer science, or a forest-related field with a focus on remote sensing Experience with deep learning The following experiences and skills will be emphasized: Experience working with data from