156 computer-science-programming-languages-"The-University-of-Akureyri" Fellowship positions in Norway
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that the person appointed will be admitted to the faculty's PhD program in professional science. See admission requirements: PhD in Professional Science. It must be documented that all requirements related
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requirements for admittance to the Faculty of Social Sciences’ PhD program. The Master’s degree must be of high quality (grade A or B) and within a specialization of relevance to the economics of innovation and
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programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows. Experience working in high-performance computing environments is an advantage
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scores You can read more about how to qualify for USN School of Business's PhD program in Management on the USN website. Please note that all documents must be in a Scandinavian language or in English. Any
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through a PhD education leading to a doctoral degree. Starting date for the positions is no later than 01 Januray 2026. The hired candidates will be admitted to the PhD program in Science and Technology
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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scientific programming (Python) and deep learning frameworks. Fluent oral and written communication skills in English. Desired qualifications: Expertise in broader topics in computer science, information
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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
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is a new initiative that organises the local bioinformatics community and drives bioinformatics innovation by integrating computational and biological sciences to address complex life science