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for molecular systems and thin films in combination with AI-driven process optimization. Help us shape the future of chemical research! Self-driving lab platform for photochemical and porosity research Join a
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biomarkers and quantitative imaging methodologies. Job Description: Job Duties Outlined: Research Overview: Work with PI/faculty mentor to develop, optimize, and apply advanced preclinical imaging techniques
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. The successful candidate will contribute to projects aimed at understanding bacterial resistance mechanisms, optimizing antimicrobial therapies, and elucidating host immune responses to infection. This position
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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into an eco-epidemiological network modeling framework and optimization function. 2. Stakeholder Engagement & Focus Group Co-Facilitation (30%) ● Design and lead focus groups, expert elicitations, and workshops
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 23 hours ago
this new and emerging field seek to comprehend, gather and organize knowledge of the nanoworld through careful observations and creative, visionary thinking. Nanoscience is a multidisciplinary field bringing
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experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based measurements, including
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well as performing biochemical experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 2 hours ago
to develop resilient crops for bioregenerative life support systems and future exploration missions. The ideal participant brings prior knowledge of genomic selection and prediction techniques from applied
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on the Mycobacterium tuberculosis beta-lactamase BlaC and fluorogenic substrate chemistry. This position focuses on developing and optimizing diagnostic assays, with particular emphasis on reagent formulation, enzyme