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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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. Applying organic matter fractionation techniques and performing standard soil chemical and microbial assays within controlled lab-based soil incubation experiments, following established protocols to ensure
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Postdoctoral Fellowship Program, and ongoing support for Carnegie Bosch Chaired Professorships. Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high
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conduct experiments aimed at understanding tumor-immune interactions in patient-derived glioblastoma organoids and other preclinical brain tumor models (30%). Data Integration and Analysis: Perform
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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, advanced computational and statistical competencies, project management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and
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techniques (e.g., column chromatography, HPLC, flash chromatography). Perform structural characterization of natural products using spectroscopic methods (NMR, MS, IR, UV-Vis). Conduct bioassay-guided
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optimization of new quantum materials. Data Analysis and Interpretation Perform quantitative analysis of research data; Use statistical and computational tools to interpret results and generate insights; Present
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) . Lab information can be found here: http://profiles.stanford.edu/nathan-lo (link is external) . Review of applications will be performed on a rolling basis and continue until the position is filled. Does