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. Uncertainty estimation. Federated learning. Bioinformatics and/or Biomedical informatics. Biomedical engineering. Personalised and/or precision medicine. Digital health. The research project: You will join our
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-based technology development Good knowledge of English Benefits We offer a challenging position in an institution consistently ranked as the first academic institution in Spain and among one of the top 90
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metabolic engineering techniques. Publications in international scientific journals and having worked in a Plant Biotechnology group will be valued. Research FieldBiological sciencesYears of Research
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adaptation. ‐ Uncertainty estimation. ‐ Federated learning. ‐ Bioinformatics and/or Biomedical informatics. ‐ Biomedical engineering. ‐ Personalised and/or precision medicine. ‐ Digital health. The research
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these organisms will open up many possibilities ranging from drug discovery (antivirals) to biotechnology (glycoprotein and glycoprocessing enzyme engineering for materials and life sciences). The GLYCO-N network
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Skills/Qualifications Successful candidates must have: • A PhD in an area such as ecological economics, environmental studies, natural/social sciences, or engineering. (Note: PhD must be completed before
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of EXPECT_art is to identify current barriers and potentials for promoting critical cultural literacy by means of arts education, education through arts and uses of arts in education within and across different
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24 Jan 2024 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Computer science » 3 D modelling Technology » Graphic techniques Researcher
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criteria 1. CV (max 60 points) University degree in the Mathematics, Science or Engineering (max 10 points) PhD (max 30p PhD in the field of Mathematics Education (30p), other PhDs (10p) Publications and
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of the candidate chosen will be aimed at determining the atomic and molecular determinants underlying formation of an AR·GR heterodimer and explore its functional impact as a mechanism driving resistance to current