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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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for curious, ambitious, collaborative scientists who enjoy asking difficult biological questions. Applicants from diverse scientific and engineering backgrounds are encouraged to apply, including and not
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to manuscript preparation. Mentor trainees as opportunities arise and participate in a collaborative, supportive research environment. Required Qualifications PhD (or equivalent doctoral degree) in Neuroscience
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problems in the field such as: how to identify new targets for cancer immunotherapy, and how to enable precise control of adaptive immune responses through engineered cellular and recombinant therapies
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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, and therapeutic engineering. Projects may involve immunotherapy models, CRISPR-based perturbation and screening, mRNA therapeutics and vaccines, protein engineering, systems immunology, and tumor
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following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, social sciences, public policy, or a relevant interdisciplinary area. Interest in
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single-cell genomics. Responsibilities: Design and run lineage-tracing and tumor-initiation experiments in genetically engineered mouse models of lung injury and adenocarcinoma Generate and help analyze
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biosafety level 2 (BSL2+) lab), immunology (such as flow cytometry and CAR-T engineering), molecular biology (such as CRISPR, RNA biology), or animal models, (e) collaboration with other researchers both
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, portable ultrasound, and linked electronic health-record data. Research is conducted in close partnership with cardiovascular clinicians, imaging specialists, biomedical engineers, statisticians, computer