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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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research the scientist will: • Develop breakthrough and novel approaches in their interest area and evaluate them through real world applications. • Design of programs addressing significant AI/ML challenges
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autonomy coupled with supportive mentorship to develop and deliver novel and meaningful research in their area of interest. Through post-doctoral research the scientist will: • Design of programs addressing
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, at the Yale University School of Medicine and Yale Cancer Center (Goshua Lab; www.goshualab.com). Position details: Successful candidates will have the opportunity to: (1) design, analyze and publish first
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Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics. The postdoctoral associate will work with Dr. Bhramar Mukherjee, PhD
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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treatment. Location of lab: 300 George St. New Haven, CT 06511. Responsibilities: Design and conduct experiments on post-transcriptional mRNA regulation in the context of cell biology and tissue ex-vivo and
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. Through post-doctoral research the scientist will: Develop breakthrough and novel approaches in their interest area and evaluate them through real world applications. Design of programs addressing
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work, designing rigorous analytical plans to test these hypotheses, lead the necessary data collection and analyses, writing manuscripts and grant applications, and presenting at local, national and
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in