305 embedded-system "https:" "https:" "https:" "https:" "St" "St" uni jobs in Denmark
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external research funding and documented teaching skills are expected but will be considered in relation to a candidate’s career stage. About the Department of Geoscience The place of work is the Department
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documented teaching skills are required, while experience as group leader will be beneficial. About the Department of Geoscience The place of work is the Department of Geoscience, Høegh-Guldbergs Gade 2, 8000
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and successful
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of equipment, ad hoc and incidental tasks such as tidying up and arranging the storage. About you: You have prior knowledge of programming in C++ You have a strong interest in embedded systems You study
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the field of ecosystem modelling at Department of Ecoscience, Aarhus University. Expected start date and duration of employment This is a full-time permanent position starting on 1 July 2026, or as soon as
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semiconductors, embedded AI, and hardware acceleration. An open, collaborative, and international work culture within SDU’s Faculty of Engineering (TEK). Research focus areas The successful candidate is expected
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the field of ecosystem modelling at Department of Ecoscience, Aarhus University. Expected start date and duration of employment This is a full-time permanent position starting on 1 July 2026, or as soon as
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therefore have a decisive influence on shaping the organisation, defining its strategic priorities, and embedding Science Bridge as a central and credible platform for innovation, collaboration, and societal
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experience in low-signal and low-power design, sensor technologies, analog front ends, mixed-signal systems, and transducer-to-system data acquisition, control, and embedded integration. Experience with system