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audio, large datasets, and multimodal neural recordings (EEG, fMRI, intracranial) to develop models with a major goal of interpretability so that we may better understand the influence of complex, natural
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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Clinical Cohorts Collaborative (PC3) which brings together multiple long-term UK Parkinson’s studies into a single large dataset comprised of control, prodromal and Parkinson’s participants. This post
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mutual agreement, it has the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy
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data analytics to uncover and predict patterns in large multimodal datasets [e.g. behaviour, simultaneous EEG-fMRI and eye-tracking data]. Main research themes include, but not limited to: reinforcement
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contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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researchers. The group conducts large-scale registry-based research covering all aspects of drug utilization, effectiveness, and safety, using Danish nationwide health registries as well as international data
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) required, either: o X-ray reflectivity, X-ray fluorescence, or X-ray photoelectron spectroscopy - Background in programming and/or data modeling using python (or equivalent) recommended