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PhD (or near completion) in a relevant area such as Psychology, Mental Health, or Social Sciences. Experience in qualitative and/or mixed methods research. A demonstrable commitment to co-production and
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Norwegian PhD or an equivalent degree within computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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Computational Biology, Bioinformatics, or a related field At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration Familiarity with
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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papers Contributing to quarterly and annual report writing and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research
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algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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the Scottish Oceans Institute. You will join a growing team comprising another PDRA and two PhD students, and you will have the opportunity to contribute to broader project themes, including wave–mean flow
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X: @KAUST_News LinkedIn: KAUST (King Abdullah University of Science and Technology) Fellowship info Accepting applications between: 01 July 2025 – 15 January 2026 Deadline: 15th January 2026 Location