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quantitative approaches combining protein biochemistry, reconstitution systems, advanced microscopy, and computational modeling, this work will uncover fundamental biological principles that govern proteostasis
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, including stem cell biologists, immunologists, cell therapists, microbiologists, and computational biologists. Career Development : Over the last two decades, the van den Brink lab has mentored many
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modeling, economic evaluation, and surveillance to enhance analytical tools. Activities will focus on gaining hands-on experience and contributing to emergency preparedness and surveillance planning
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degree in immunology, microbiology, molecular biology, computational biology, or a related field. Additional Qualifications Considered Demonstrated expertise in Clostridioides difficile infection models
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. Through the Sustainability Leadership Program , Fellows join a cohort of early career scholars that receives curated support in science communication, strategic career planning, and collaborative leadership
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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of neuroscientists seeking to solve grand challenges in neuroscience, healthcare, and computing. The successful applicants will contribute to this effort by creating new AI/ML models to analyze large experimental and
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foundation models and agentic systems and demonstrated capability to produce workable solutions from theoretical formulations Substantial publication history in top computer vision/machine learning venues
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Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires
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learning techniques to enhance the predictive model for protein adsorption. Collaborate effectively with cross-functional teams comprising experts in AI/ML, computational modeling, structural biology