39 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Southern Denmark
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visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . If you experience technical problems, you must contact hcm-support@sdu.dk . Further information for international applicants about
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manufacturing processes for construction, including data-driven, sensing, and behaviour-informed robotic workflows. • AREA 3: Low-carbon 3D concrete printing, including computational design, process optimisation
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19 Dec 2025 Job Information Organisation/Company University of Southern Denmark Research Field Medical sciences » Epidemiology Researcher Profile Recognised Researcher (R2) Positions Postdoc
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funded by the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts
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Job Description In order to expand the Centre for Visual Data Science , the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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initiatives, as well as a wide range of research-related tasks such as qualitative data collection and analysis as well as writing academic publications. More information on “Digging for the Climate”: https
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diagnostic pathways. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD
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outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people perceive and
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tasks include planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within