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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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enhance optimization algorithms, help practitioners select the most effective algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex
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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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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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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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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
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models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach