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or translational research optimizing advanced water treatment processes (e.g., reverse osmosis) to reduce costs and emissions while providing safe resilient supply. They should have documented experience with a
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contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to enhance optimization algorithms, help practitioners select the most effective
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for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include
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responsibilities include: Leading experiments to optimize Cas9/gRNA complex delivery into oocytes of diverse marine phyla, potentially utilizing techniques like microinjection or targeted incubation. Developing and
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and testing, and essential debugging and profiling techniques. A significant portion of the course should be dedicated to performance optimization strategies at both code and system levels. A
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effective immunotherapeutic targets. Finally, we plan on continuing the path to clinical translation with further preclinical research (proteasome manipulation and optimization studies, bioinformatics
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School of Medicine. The project will focus on optimization of peptide ligands targeting promising cancer antigens followed by subsequent radiolabeling and pre-clinical validation. The Beinat lab employs
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role in optimizing, improving and sustaining our advanced computing infrastructure. HPC Infrastructure Maintenance: Help manage the day-to-day system administration of an NVIDIA DGX Superpod and
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to safety regulations, provide feedback for optimizing lab workflows, stay up-to-date with relevant literature, and attend lab meetings and journal clubs. A 2-year commitment is desired with ideal start date
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation