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nature (e.g. expressed by growth curves), can be derived from various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore
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of frictional behavior and advanced constitutive models to describe it. In this project, you will: Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our
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various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore, individual predictions of relevant patient outcomes based
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electrical disorders that occur in the absence of structural abnormalities of the heart. These conditions are linked to SCD in young, otherwise healthy individuals and are caused by monogenic defects in genes
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facilities hosted at UU’s Electron Microscopy Centre. Project description Recent advances in thermodynamic phase equilibrium modelling facilitate the prediction of metal budgets of crustal magmatic systems
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constitutive models to describe it. In this project, you will: • Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our novel improved in-house
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of the first generation of foundation models that are capable of transfer across conditions and tasks. This opened entirely new ways to solve domain-specific problems by training transferable models and adapting
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bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside
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team! Recent breakthroughs in Artificial Intelligence resulted in the emergence of the first generation of foundation models that are capable of transfer across conditions and tasks. This opened entirely
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candidate, you will investigate the learning capabilities of feed-forward and recurrent models of neural circuits with various degrees of biological plausibility, with a focus on: Transferability of