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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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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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of teaching and administrative duties (up to 25 %), depending on the competence of the successful applicant and the needs of the department. The research fellow must take part in the Department’s PhD program
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applicant and the needs of the department. The research fellow must take part in the Department’s PhD program and is expected to complete the project within the set fellowship period. Project description
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Research Fellow in Machine learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine learning connected to the Scientific Computing and Machine Learning
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fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline
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. You must meet the requirements for admission to the PhD programme in Social Science - Specialization Geography You have proficiency in English, both written and spoken. PLEASE NOTE: For detailed
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position
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considered if you can document that you are particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Excellent communication skills in English