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mechanisms and pathways behind – multiple exposures pathogenesis and disease is not yet fully understood. In the EXPOSIM project, a large-scale EU project, we aim to unravel the complexity of the association
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, electrical engineering, and computer science. Desirable skills/interests: Signal processing, machine learning, applied optimisation. Objectives: To analyse large-scale data that is reliable and collected from
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and providing FOG severity assessment; curate a database of large-scale multi-label gait datasets; develop FMs that can be pretrained based on the curated database, fine-tuned to assess FOG severity
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representations from massive amounts of raw data, typically using large-scale models that incorporate only minimal prior domain knowledge. Such representations can support a wide range of downstream tasks. However