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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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analyses. In addition, experimental and computational abilities for large datasets are highly desirable. The applicant must be able to comply with high standards of work ethics, regulations and rules
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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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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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at Arlington is one of the most prestigious schools for Social Work in the nation and has the most diverse program offerings in Texas. The UTA School of Social Work ranks in the 96th percentile for overall
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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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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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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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