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Field
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to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials. · Other research experience will be considered
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Biology, Physiology and Immunology at the Faculty of Biology. Learn more about our research: https://www.ciberned.es/grupos/grupo-de-investigacion?id=28735 https://www.neurociencies.ub.edu/research-group
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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DNA/RNA high-throughput sequencing data analysis and image processing. We are looking for candidates that can expand the skills from the Unit towards proteomic and metabolomic data analyses. The Unit
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in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international collaboration meetings, schools and workshops. Development of transferable
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
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-PCR, Western blot, immunofluorescence). Histology. Isolation and culture of cardiomyocytes and fibroblasts. Intracellular calcium imaging by confocal microscopy. Design and conduct metabolomic studies
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21 Nov 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Computer science Engineering » Computer engineering Researcher Profile
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Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations