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equivalent, in bioinformatics, data science, computer science, computational biology, statistics, public health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance
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, Properties and Units), ICD (International Classification of Diseases), or similar. Experience in statistics, epidemiology, and/or validation of computational models. Clinical expertise as a medical doctor with
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, VR, WASP, Google, Amazon, Facebook, and OpenAI, as well as the Chalmers PhD Supervisor of the Year award). Information about the department The Department of Computer Science and Engineering is a
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, technology, animal health and veterinary epidemiology. The group currently consists of about 20 staff members, including several PhD students, post-doctoral researchers, senior researchers, a senior lecturer
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University. We value diversity in experiences and perspectives, and the division represents diverse background– engineers, natural and social scientists. In the research groups we work together to develop and
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Deadline 26 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme
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Independent third-cycle studies with 100% research including a dissertation that involve conducting, publishing and presenting research, and course work associated with the PhD program in tourism studies as
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Independent third-cycle studies with 100% research including a dissertation that involve conducting, publishing and presenting research, and course work associated with the PhD program in tourism studies as