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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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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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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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mechanistic and structural knowledge on these molecular interactions to enable design and development of protein-based therapeutics and vaccines. Applicants should have at least one first-author publication in
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, decision making, creativity, relationships, and health. Our goal is to design effective approaches for supporting school communities in understanding the value of emotions, teaching the skills of emotional
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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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required but will be helpful. The ideal candidate will have an interest in broad career development in a dynamic environment that allows them to develop as a leader in healthcare data science and innovation
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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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research experience required. Mentoring and courses are provided as needed for principles of experimental design, problem-solving, writing, and data analysis. Prior experience in a medical setting or lab is
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and include supporting research design and implementation; overseeing data collection and analysis; interacting with internal (postgraduate fellows, research staff based in our affiliated country