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structure–activity relationships (SAR) to optimize the potency, physicochemical and ADME properties, pharmacokinetics, safety, and in vivo efficacy of lead molecules. In collaboration with other scientists
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, synthesis, and optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of
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innovative materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard
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field. Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications. Proficient in implementing control and optimization
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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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, and supporting the training and optimization of deep learning models in a research-driven setting. Other duties as assigned Adaptability, excellence, and passion are vital qualities within Carnegie
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learning based optimization algorithms, human and AI coordination in best decision making for urban transportation related problems. The role will focus on developing generic frameworks and innovative
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to guide the selection of optimal functionalization strategies. Simulating gas adsorption (CO, O₂, H₂, NOₓ, etc.) on ND surfaces to predict binding configurations and IR spectral signatures, enabling
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow