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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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. Qualifications Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have
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level to support our advanced imaging program. This position offers an exciting opportunity to join a nationally recognized academic cardiology program dedicated to excellence in patient care, medical
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will lead independent projects in a supportive, high-energy environment and work alongside an interdisciplinary team spanning experimental tumor immunology, computational biology, functional genomics
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faculty position in Classical Hematology. The Classical Hematology program at Yale is a world-class program – one of the largest in the country – dedicated to cutting-edge clinical care and research in
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on resulting publications is supported. Education: This role is designed to prepare a post-graduate trainee for future educational goals by building expertise in computational biology, single-cell genomics
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at the Assistant or Associate Professor level. This position offers an exciting opportunity to join a nationally recognized academic cardiology program dedicated to excellence in patient care, medical education, and
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cellular biology approaches. The Park Lab develops human stem cell-based neural models to investigate molecular and cellular mechanisms regulating neurodevelopment and neural function, and to understand how
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, evolutionary biology, machine learning, mammalian cell culture, or sequencing technologies. Wet Lab Applicants: • Minimum 1 year of molecular biology research experience preferred Computational Applicants
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motivated, postgraduate associates to join our interdisciplinary collaborative team conducting a large, longitudinal study of mental health, titled “Individually Measured Phenotypes to Advance Computational