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, Computer Science, or related field, with strong background in machine learning Publications in top-tier journals and/or conference presentations as first author Proficiency in AI programming languages
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there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project Offshore wind energy
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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of an adapted language enrichment programme. Due to funding restrictions, the successful candidate must be able to start the role before 30th Sept. This role is eligible for hybrid working with a
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technology within three months of accession in the position. For admission to the Programme the weighted average grade is B or higher is usually required. Co-operation between staff members is an integrated
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. The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in
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, teaching and program development that will improve the health of women. Each fellow completes an individualized career development plan (ICDP) around 4 core areas essential to a successful research-based
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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must complete a language course equal to 15 ECTS before the end of the fixed-term period. UiT will facilitate this. Admission to the PhD programme For employment in the PhD position, you must be
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Fellow, you must participate in an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and