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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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development and neuropsychiatric outcomes, with the goal of improving mental health and developmental trajectories in children. Our work emphasizes mechanism-driven, translational research, leveraging clinical
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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illness; and (3) population-conscious research and improved models of care delivery for all older adults. Post-doctoral experience: Postdoctoral fellows will pursue a two-year program of mentored research
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foster equitable access to high-quality, data-driven decision-making for all. ROAR is now approved as a universal screener across multiple states and supports hundreds of thousands of students in schools
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affordance‑driven decisions. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co
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decision-making Required Qualifications: We’re seeking a highly motivated postdoctoral fellow with extensive experience in economic theory, quantitative modeling, and technology-driven economic analysis
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and