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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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prediction models Demonstrated ability in program management, collaboration, and stakeholder engagement Position Sponsorship Eligibility: Not eligible for work visa sponsorship About Department of Crop and
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aims at understanding how antimicrobial heteroresistance and more generally phenotypic heterogeneity evolves in bacteria. As a model, we will focus on the opportunistic bacterial pathogen Pseudomonas
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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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-source modeling and collaborative research. The successful applicant will play a central role in developing and applying Tools for Energy Model Optimization and Analysis (Temoa), a widely used open-source
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thromboinflammation, using cutting-edge approaches such as confocal intravital microscopy, CRISPR-based gene editing, proteomics, and mouse models of human disease. Job Description Primary Duties & Responsibilities
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upon future funding. Responsibilities: Research Under general supervision, conducts research on host–pathogen interactions using a bovine macrophage infection model to determine how prior exposure
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, economic, and political transformations: Modern Work and Gender Equality, Inclusive Entrepreneurship for A Sustainable Future and Leadership models fit for the future and inclusive cultures. About the role
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ternary and quaternary compositional spaces to provide experimental benchmarks for computational predictive models. The work will include planning and carrying out experiments, maintaining detailed
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chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data