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postdoctoral researcher, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is required. This eligibility requirement must be fulfilled at the latest at the time of the employment decision
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interdisciplinary research teams and internal and external partners. Required qualifications Applicants must have: A PhD in ecology, marine biology, statistics or a related discipline. Strong expertise in statistical
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interdisciplinary research teams and internal and external partners. Required qualifications Applicants must have: A PhD in ecology, marine biology, statistics or a related discipline. Strong expertise in statistical
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motivated candidate with: A PhD (or be close to completion in exceptional cases) in molecular biology, cell biology, biochemistry, or a related field. Strong theoretical background and extensive hands
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are eligible for the positions. This includes but it is not limited to Economics, Sociology, Political Science, Psychology, Demography, Statistics, Statistical genetics, Bioinformatics, etc. The PhD is to have
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with an interest in applying advanced methods to questions in neuropsychiatric research. The candidate must have: A PhD in neuroscience, neuroimaging, medicine, computational science, physics, statistics
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various IPCC climate scenarios Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD in Biology, Ecology, Data Science, or a related subject, or an
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into consideration. The area of the PhD degree is expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software
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Mathematics and Statistics Regarding the research project, please contact: Professor Aila Särkkä (https://www.chalmers.se/en/persons/aila/ ) Dr. Moritz Schauer (https://www.math.chalmers.se/~smoritz/ ) We look
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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods