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, transdiagnostic cohort Integrating theory-driven models with data-driven analytic approaches to improve prediction of symptom trajectories Contributing to study-wide discussions of analytic strategy, model
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GENERAL SUMMARY/ OVERVIEW STATEMENT The Falcone Lab (www.FalconeLab.org ) integrates genomic, multiomics and neuroimaging data to study the pathophysiology of acute brain injury (ischemic stroke
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, an understanding of computational data analysis is highly encouraged and supported. Research activities may include: Culture and maintenance of mammalian cancer cell lines and our established pre-clinical platform
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MD, PhD, or MD/PhD degrees and experience in a variety of molecular techniques, animal experiments, and data analytics are encouraged to apply. The ideal candidate will spend at least two years in
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to the team’s research, including being involved in the analysis and dissemination data and mentoring other trainees in the lab on related projects. The position provides ample opportunities for publication and
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, physics, or other quantitative disciplines), or expected within 6 months. Demonstrated experience in in vivo two-photon imaging using calcium indicators in mice. Strong quantitative and analytical skills
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illness and substance use disorders. Research activities are supported by robust clinical, regulatory, and data management infrastructure and are closely integrated with clinical services, enabling
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structures and regulatory elements. Integrate multiple sources of genomic and functional data to prioritize candidates for experimental validation. Work closely with laboratory members to guide experimental
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Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
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mentorship and structured educational activities, trainees will gain hands-on experience generating, analyzing, interpreting, and experimentally validating functional genomic data within biological and