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Field
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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, and bioactive compounds from plant, food, microbial, and human samples; develops and optimizes analytical methods; analyzes complex datasets using metabolomics and statistical software tools
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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of ongoing and new research goals. Develops, optimizes, validates, and documents new laboratory methods and standard operating procedures; troubleshoots complex technical and instrumentation problems and
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commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
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: • establish and optimize a targeted CRISPR screen of LCCL-domain protein genes ; • generate and analyse genetically modified Cryptosporidium lines ; • develop robust phenotyping assays to identify candidate
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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, chemists, chemists and engineers collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The “Advanced characterizations and optimized functional materials