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analysis and Multiphysics Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural
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preclinical models and will have the opportunity to develop and refine novel systems. Our laboratory is well-resourced to conduct these studies. It has access to human biospecimens to confirm the relevance
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in iPSC-derived cellular models. The position is ideal for someone hoping to be involved in grant-funded research as well as increase their publication record during postdoc and launch an independent
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ability/proficiency/excellence computer software, equipment operation, or research technical skills. Desired Qualifications: Experience in research with flow cytometry, animal models, cloning and expression
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The necessary requirement is a true passion for science and discovery. The ideal candidate should also have at least 1 first-authored publication in press, and have experience working with murine models in a
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vivo experimental models (e.g. ticks and mice) to identify and characterize bacterial virulence factors and host cell machinery; molecular, cellular, and immunological mechanisms that facilitate
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Wide Field Science Teams. Duties will include contributing to RGES-PIT science by developing new galactic models/dust models and hierarchical occurrence rates analysis pipelines; preparing papers
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, implementing, coordinating, delegating and evaluating the nursing care of patients in alignment with the professional practice model. Minimum Education Required 2-Year College Degree or equivalent combination
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the opportunity of strong mentorship and a close, multidisciplinary collaborative research environment. Primary Responsibilities Lead the state-of-the-art research using genetic mouse models for histology, single
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental