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: Background in bioinformatics, statistics, computer science, data science, or related fields with a relevant PhD degree (required). Experience with analyzing large genetic data sets, e.g., UK Biobank, All-of-Us
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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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, 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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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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of computational thinking. In short: “Teach students how to fish – and occasionally hand out a free fish.” We expect that you: Have completed the DAM course or a related subject with good results. Are interested in
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developing sensor set ups based on SERS These activities will be in close collaboration with a biology group. Your profile Applicants should hold a PhD in Nanoscience, Chemistry, physics or similar. Required
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). The position is affiliated with the Classical Studies programme and involves teaching courses for both the classical archaeology and classical philology tracks. The teaching associate professorship is a
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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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to teach and supervise students at the BSc, MSc and PhD levels and to carry out individual and group-based research of the highest international standard contributing to the development of our academic field
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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