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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
reservoirs, (2) identify new opportunities for safely and effectively expanding underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored
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. Experience with photo-based 3D printing platforms and process optimization. Familiarity with powder-based organic–inorganic liquid suspensions for composite photopolymer printing. FLSA Exempt Full Time/Part
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persistence mechanisms Develop and optimize assays related to HIV-1 latency reversal and eradication strategies Perform cell culture experiments with mammalian cells, including lentiviral transduction Analyze
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disease. Apply and optimize advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation
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neuromodulatory systems interact with central taste processing regions to regulate behavior. This position is ideal for candidates interested in pursuing academic independence and developing expertise in
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glovebox and Schlenk-line techniques for the handling of air- and moisture-sensitive materials is essential substantial experience in developing synthetic routes, optimizing reaction conditions, purifying
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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of neural networks, information-theoretic and optimal-transport perspectives on representation and generalisation, probabilistic numerics and Bayesian deep learning, and emerging frameworks for scientific
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position