15 phd-computer-artificial-machine-human Postdoctoral positions at University of Copenhagen
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Job Description The SIGNATURE project aims to define the human insulin resistance molecular network by identifying different baseline sub-phenotypes of insulin resistance in humans and assessing
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The Department of Communication, Faculty of Humanities, University of Copenhagen (UCPH), invites applications for a postdoctoral position in History of Philosophy from 1 September 2025. The position
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modifiers, and how these in turn affect lineage choice and embryo growth at around the time of implantation. To achieve this, the group utilises both in vivo mouse models as well as in vitro human stem cell
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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Centre for Comparative Culture Studies at the Department of Cross-Cultural and Regional Studies, Faculty of Humanities, University of Copenhagen (UCPH), invites applications for a 22-month
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cutting-edge experimental and computational technologies. Our aim is to dissect dynamics and cellular programmes active during human blood lineage development and to decipher how haematopoietic
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enthusiastic postdoctoral fellow with the following competencies and experience: Required qualifications: Educational background in biochemistry, human biology, nutrition, or related sciences PhD in basic
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knowledge Key criteria for the assessment of applicants Applicants must have a PhD degree related to the subject area of the project. Experience in molecular microbiology and biofilm research is required. We
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position: This position is part of ‘SEEDFOOD: Functional and Palatable Plant Seed Storage Proteins for Sustainable Foods’, a Challenge Program project funded by the Novo Nordisk Foundation. SEEDFOOD is a
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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models