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with contemporary machine learning methods. We are looking for an ambitious Postdoc who will lead our efforts on the design, implementation, and training of mechanistic models of cell organization. In particular, we
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-world applications. Core Responsibilities: Cell & Organoid Engineering: Learn the fundamentals of cell and organoid culture, achieving proficiency as monitored by supervisors. Become familiar with
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of life science research experience. · Experience working with mouse models of disease. · Technical aptitude for learning and executing complex experimental techniques for molecular biology, cell-based
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will combine infection models and patient-derived samples with approaches spanning cell and structural biology, supported by advanced imaging techniques, including cryo-electron microscopy (cryo-EM) and
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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immunology, cancer biology, or immuno-oncology, as well as familiarity with T-cell receptor sequencing data or immune repertoire analysis. Experience applying machine learning methods to biological data is
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characterization, and electrochemical evaluation of sulfur cathodes in both coin-cell and pouch-cell formats. This role includes establishing correlations between the physical and chemical properties of sulfur