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oversee a research program focused on identifying and testing innovative cancer screening technologies and biologically informed interventions to prevent and intercept cancer. Areas of research may include
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. The postdoctoral fellowship training program is designed to enhance skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will benefit from an individualized
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innovation program. Our lab fosters an environment that provides the direct mentorship and networking opportunities essential for building a successful independent career. A New Framework for T Cell Control
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify
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, modeling cancer risk, risk mitigation, early detection, prevention, and cancer care delivery. The primary project will be a part of the Clonal Hematopoiesis Chemotherapy and Radiation Effects (CH CARE Study
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between different neuronal cell types are organized and how this organization enables the computations they perform. Within this role there is a lot of flexibility around the projects, depending on your
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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partners, including other Harvard Medical School-affiliated hospitals. The Fischer Lab at Dana-Farber Cancer Institute is a Structural and Chemical Biology lab that combines molecular biology, computational