274 affective-computing-"https:" "https:" "https:" "UCL" Postdoctoral research jobs in Denmark
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’ responses to these market changes focusing on the GPs’ financial and altruistic motivations (survey data) and their impact on patient care (register data). This project contributes with important knowledge
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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duration of employment These are 2–year positions from April 2026 or as soon possible thereafter. Research area and project description The impact of freshening from melting land and sea ice is expected
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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. The postdoc will play a central experimental role in the project and work closely with a dedicated postdoc supporting advanced computational analysis and interpretation of data. The position offers substantial
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Job Description Are you passionate about sustainability and reducing environmental impact in biomanufacturing? Global biomanufacturing is expanding rapidly, but current processes rely heavily
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section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc-human-centered-computing
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural