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clinical data from musculoskeletal rehabilitation to generate data-driven insights that improve orthopaedic treatments and patient outcomes. Responsibilities: Extract, clean, and harmonize large clinical
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CIS Adjunct Faculty, UG - COR3001 Big Questions (Wealth and Poverty), AY2025-2026 Term 2 - (2500007K) Description The College of Integrative Studies (CIS) at Singapore Management University (SMU
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paper preparation. - 5% surgical preparations including implantation of head plates, craniotomies - 20% data collection including large scale recording with widefield imaging and with neuropixels
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funded projects from various funders, including several NWO projects and PDI-SSH, all centered around large-scale analysis of network data, with a focus on social networks. The group consists of people in
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of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis
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Job Description Responsible for the daily cleaning, disinfection and maintenance of the Large Animal Clinic, its facilities and grounds. Assists in receiving supplies of animal feeds, hay, straw
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
developing computational infrastructure, designing machine learning segmentation and classification pipelines, creating visualization and UI tools, processing, storing, and disseminating large datasets, and
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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integral to executing research projects by performing organization and maintenance of large administrative datasets, statistical programming (i.e., coding), data analysis, and summarization and
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assessment, and risk prediction in neuropsychiatric and neurodegenerative disorders. The Division’s scientific portfolio spans digital cognitive assessment, multi-modal data integration, and large-scale