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community in research; thus, our findings can be widely applicable to our diverse community. More information about the lab at: https://www.umassmed.edu/maldonado-contreraslab/ This is an open-rank posting
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for overseeing and continuously improving the college’s information architecture, web content, search engine optimization (SEO), accessibility, and content management system support for both public websites and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
operating spatial omics equipment including appropriate imaging and complementary assays. This includes optimization of all high-level protocols to meet experiment needs. They will work with the client
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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& Staff Development Supervise, train, and mentor kitchen staff to ensure optimal performance and professional growth Support recruitment, onboarding, and ongoing training initiatives Foster a positive, team
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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bioeconomy, waste valorization, and microbial biotechnology. Tasks to be performed include: Design, optimization, and operation of innovative photobioprocesses, working within an international and
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work