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. The primary focus of this role will be in developing laboratory methods to improve recovery of microbial genomes from complex samples. Secondary focus of this role will be in maintaining cultures
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on developing machine-learning surrogates for electronic structure and electrostatic potential and using these models to predict structural and electronic evolution under applied bias. Methods may include density
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We are seeking a highly motivated Post-Doctoral Researcher to develop, implement, and advance the IDeA (Intelligent Design and Analysis) co-scientist project. The successful candidates will work
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join an R&D team conducting use-inspired research supporting the development of molten salt technologies
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mixed/reduced precision into existing applications relevant to ALCF's mission Developing and maintaining tools and libraries that facilitate the adoption of mixed/reduced precision computing in
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). This position focuses on The investigation of coupled land-river-ocean processes in coastal flooding applications by developing a coupled E3SM configuration that incorporates a subgrid-scale version of the MPAS
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The Chemical and Fuel Cycle Technologies division is seeking Postdoctoral Appointees to join a multidisciplinary team developing molten salt-based chemical and electrochemical processes geared
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We are seeking a highly motivated and adaptable postdoctoral researcher to join the Laboratory Directed Research and Development (LDRD) project FREEZE (Fundamental Research on Energy-Efficient Zonal
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI