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researcher with an interest in T cell development and single cell & spatial omics to join the team. We are a dynamic and international lab with a focus on the functional characterization of the molecular
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and single-cell technologies with spatial readouts to study the distinct routes of tumor evolution and modes of immunosuppression we identified in our previous work in subtypes of pancreatic cancer (e.g
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs in laboratory-based classical hematology. Postdoctoral mentors associated with
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leverages the exceptional research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs. Hematological malignancies are the most
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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. Opportunities for Growth This RAP position offers great opportunities for professional development, including leading independent cutting-edge research projects, mentoring postdocs and graduate students
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reproductive development. We work with the model species Arabidopsis and arable crops to understand how weather and climate variation affect reproductive development, crop yield and quality. We have a particular
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applications, and presentations at conferences. • Mentor and train students. Your qualifications Required: • Ph.D. in cell biology, biochemistry, physiology, molecular medicine, or related field
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms