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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
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European Lab for Learning & Intelligent Systems (ML/AI). Cell engineering for cancer and immune diseases (Bock Lab ). Development of innovative technologies for biomedical research, for example building upon
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this date. Job description Recent improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
approaches—combining additive (MIG welding-based) and subtractive (CNC machining) processes—for the refurbishment of industrial components. The postdoc will focus on characterizing material interfaces and
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on military recruitment. Candidates on non-Italian nationality are required to: - enjoy civil and political rights also in their country of origin or provenance; - meet the above requirements, if applicable
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and biology of infection with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine