289 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs in Denmark
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materials, utilizing hyperspectral imaging data as input. We want to enable real-time prediction and assessment of the materials’ physicochemical behaviour and performance characteristics. This position is
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. Contact Further information may be obtained from Professor Xiangyun Du, Director of the UNESCO PBL Centre (xiangyun@plan.aau.dk). About Aalborg University Aalborg University provides outstanding research
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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: Interviews will be held May 18th. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be
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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in
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additional information about the position, please contact Associate Professor and Head of Research Group, Mohammadamin Mohammadifar on moamo@food.dtu.dk Applications received after the deadline will not be
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publication record in the relevant area. Proven ability to conduct independent research and analyse experimental data. Experience in teaching at the undergraduate level. For non-Scandinavian candidates
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Copenhagen University Hospital – Amager and Hvidovre. Find information about the department . Job description In the consideration of applications for the professorship, the main emphasis will be
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, computer vision and digital electronics have experience with CAD software (e.g. Fusion 360) have experience with conducting human-robot interaction experiments have experience with the navigation stack in