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foundation models. ? Expertise with developing efficient data loaders for large datasets and optimizing training workflows. ? Deep knowledge of probabilistic modelling, self-supervised learning and
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only a single cell type to 3D cortical brain organoids. Genomic and Transcriptome data have been generated from these organoid models as well as postmortem brain samples and basic characterization has
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, specifically in Cardiology, under supervision. Responsibilities include data entry in EDC, Redcap, and CTMS, resolving simple queries, extracting data from medical records for study forms, and maintaining
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Implementation; Training and Technical Assistance; Communications; Assessment and Data Collection, Management and Analysis; and Continuous Process and Quality Improvement. THIS POSITION IS GRANT-FUNDED. CONTINUED
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expertise in training deep learning models and tuning large foundation models. Expertise with developing efficient data loaders for large datasets and optimizing training workflows. Deep knowledge
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. Responsibilities Manage and maintain large, multi-level datasets linking social, clinical, and biological data ? 70% Conduct descriptive, multivariable, and multi-level analyses to examine relationships between
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information to all departmental staff and faculty. Provide general oversight of all billing activities, as they relate to compliance within the department. Develop methodology, implement, and monitor research
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options to clients, and address escalated issues and concerns, including complex matters involving large, multi-PI grants. Manage financial operations across grant and non-grant funding sources, including
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chromatography, and ICP-MS. Also learn how to use and maintain a large inventory of field monitors and their calibration approaches. Once trained, the SAII will be able to train and supervise students and work
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spectrometers and ICP-MS. Will use and maintain a large inventory of field monitors. Will train and supervise students and research support staff and work closely with postdoctoral research scientists and