6 computational-materials Postdoctoral positions at University of Copenhagen in Denmark
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spirit and is interdisciplinary, covering bioinformatics, statistics, machine learning/AI, and computer science. Project description The postdoc will apply machine learning/deep learning approaches along
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of the plant material intact. The properties of these partially refined ingredients depend strongly on the way of processing. This Fellowship is aimed at developing rapid experimentaton methods that will allow
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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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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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
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We are looking for two highly motivated and dynamic computational postdocs for a 3-year position, to join the group of Prof. Ana Cvejic from the 15th of June 2025 or soon thereafter. Information