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Field
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. The main research of the lab focuses on engineering novel unconventional immune cell subsets to enhance tumor immunity. Dr. Tobin's lab has several exciting research projects with the potential of clinical
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cell phones and dedicated recording devices, are also growing in scale, creating the potential to complement, extend, and expand human observations. However, a key challenge is translating imperfect
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for candidate’s career development. Learn more: Our benefits , where we prioritize your well-being and success to enhance every aspect of your life. Being a part of the University at Buffalo community. As an Equal
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a talented and motivated Postdoctoral Researcher to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and
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): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets (e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune
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core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
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at design stage without compromising energy density at cell level. With large-scale proliferation, sustainable and recyclable materials are needed to avoid used cell waste accumulation. Inspired by safe
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at least one of the following thematic areas (expertise in multiple is a plus, but not required): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for: • Inferring causal networks from Perturb-seq (interventional
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/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a