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the information studies programme. As the successful applicant is expected to play a key role in developing cybersecurity as a strategic research area within the department’s curriculum, applicants
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qualifications Completed MA degree (by the start date) in political science, data science, economics, sociology, computer science, or a related field. Advanced skills in quantitative and computational areas
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, numerical simulation, and experimental methods hold equal weight. Selected candidates will be expected to Create a research program that is innovative and has global significance. Build collaborative efforts
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to collaborate with industry partners, teach at undergraduate and graduate levels, and supervise Master's, and PhD students. Candidates will become part of a collaborative work environment within and outside QGG
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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program. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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as documented by a PhD dissertation and/or research publications competences in Old Norse language and knowledge of Old Norse textual history excellent communication and interpersonal skills, in order
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD