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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
force fields for correlated disorder in... Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 30 Sep 2026 View more categories View less categories
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
Moller Institute, University of Southern Denmark (SDU), invites applications for a 3-year PhD position on reversible programming languages and their use for energy efficient cyber-physical systems. The
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chemistry. The successful candidate will be employed by Aarhus University and primarily stationed in the Research Unit of Theoretical Chemistry at the Institute of Materials Chemistry, TU Wien, in the group
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The SDU Drone Center, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for a 3-year PhD position on reversible programming languages and their
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interest in industrial applications and cooperation to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for three years with a
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The National Institute of Public Health at the University of Southern Denmark (SDU) invites applicants for a 3-year PhD scholarship for a highly motivated candidate interested in working within the
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The Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark, Odense, invites applications for one or more full-time Postdoc positions. The ’Hybrid War and Democracy
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land surface phenology studies at broad spatial scales (e.g. kilometers), the aim of this postdoc is to explore patterns at the level of individual fields, forests or grasslands in a fragmented
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The Danish Institute for Advanced Study (DIAS) and the Digital Democracy Centre (DDC) at the University of Southern Denmark (SDU) seek an outstanding candidate to fill a tenure track Fellow
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this postdoc is to explore patterns at the level of individual fields, forests or grasslands in a fragmented landscape. By analysing responses across fine spatial scales, we will generate locally