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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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interventions, implementation science and community-engaged research. The program is enabled by over 35 faculty members at the Yale Schools of Public Health, Medicine, and Nursing, who have an outstanding track
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to collaborate with others. You will lead independent research projects, report progress and track deliverables, work to develop new approaches and ways of thinking about the field of cancer immunology
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection
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enabled by over 35 faculty members at the Yale Schools of Public Health, Medicine, and Nursing, who have an outstanding track record in CPC research and mentoring of junior investigators. • Fellows will
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful
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holder must have excellent communication skills with a proven track record of interacting effectively within interdisciplinary teams (biologists, clinicians, computer scientists, etc), as
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Investigators at top economics programs. Ideal candidates will have experience and a track record developing research in one of two core research areas, Gender and Environment/Climate Change, along with solid
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will lead independent research projects, report progress and track deliverables, work to develop new approaches and ways of thinking about the field of tumor immunology, contribute to the lab through