81 web-programmer-developer-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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on developing a new hybrid light–matter platform that couples transition metal complexes with optical microcavities to achieve optical control over ultrafast spin conversion and charge transfer
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, lithium-ion batteries, etc.), evaluating the competitiveness of mining projects, and developing economic models that support DOE priorities. The successful candidate will apply methods from economics
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simulations. The candidate is expected to work as part of a collaborative team of chemists, physicists, and engineers to develop new chemistry for upgrading hydrocarbon streams. The candidate should be
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
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to analytical techniques for characterizing effluent analytes using LC-MS, GC-MS, IC, ICP-MS, including developing in situ measurement routines aimed at understanding degradation mechanisms of membrane and
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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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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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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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). 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