42 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Aarhus University in Denmark
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We invite applications for a 24-month postdoctoral scientist position to work on the project “Anaerobic Growth of Aerobic Methanotrophic Bacteria in Lake Environments (AGAMBLE)”. The position will
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to contribute to: (1) The design and build-up of a deep-UV supercontinuum source for ultrafast pump-probe transmission / reflection spectroscopy. (2) Investigate the dynamics of electrons and holes in selected
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of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research. In a diverse and international research environment, dedicated employees are looking
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. Find more information on “Enzyme Engineering Group” here . Qualifications Completed PhD in the field of Biochemistry, Molecular Biology, Biotechnology or relevant field. Strong background in enzymology
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bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research
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Are you interested in environmental science and risk analysis and protecting the marine environment from contamination from dumped munitions? We invite applications to a unique exciting opportunity
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respectful environment providing room and support for your interdisciplinary, professional and intellectual growth. Your competences You have academic qualifications at PhD level, for example within
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-evolutionary simulation. The position is available from 1 March 2026 or as soon as possible thereafter and is for 2 years. Qualifications and competences Applicants must have a PhD degree or equivalent or have
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Attractive salary and benefits in accordance with Danish agreements for academic staff, including a competitive pension plan. International, welcoming work environment: The Department of Mathematics hosts
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-year extension may be possible. Job description Your key responsibilities include research related to semantic representation and reasoning on time-series data; designing and implementing Edge AI