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, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines. The successful candidate will
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specification and verification Theorem proving, familiar with proof assistants Machine learning and LLMs We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff
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of the project is to use machine-learning assisted molecular dynamics simulations incorporating quantum effects for the identification of new variant-specific drug targets which will be validated experimentally
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the bachelor's programme in medical imaging technologies and related fields. He
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Dynamics. Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical
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include (but are not limited to): Uncertainty quantification Regularization techniques Machine learning deep learning High‐dimensional statistics Dimensionality reduction Causal machine learning
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related
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clinical activity can be considered. Teaching portfolio: The holder of this position is expected to co-build, co-direct, and teach in the Bachelor's program in clinical imaging technologies and related