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accomplishments. Demonstrated ability to propose and execute research aligned with current or emerging LLNL high energy density science mission needs and strategic growth areas. Demonstrated potential for
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nuclear physics. These positions are in the High Energy Density (HED) Scientific & Technology (S&T) Program within the Extreme Light, Matter, and Fusion (LMF) Principal Associate Directorate (PAD). In
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physics. These positions are in the High Energy Density (HED) Scientific & Technology (S&T) Program within the National Ignition Facility and Photon Science (NIF & PS) Principal Associate Directorate
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University of Pittsburgh - Center for the Neural Basis of Cognition / Bioengineering | Pittsburgh, Pennsylvania | United States | about 2 months ago
(contingent on experience) Closing date 3 Nov 2026 Website https://schwerdt.pitt.edu/ View more categories View less categories Discipline Applied Science , Computing , Engineering , Health Science
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. This position is in the High Energy Density & Photon Science (HED & PS) organization in the Advanced Photon Technologies (APT) group within the Extreme Light, Matter, and Fusion (LMF) Principal
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demonstrations. This position is in the High Energy Density & Photon Science (HED & PS) organization in the Advanced Photon Technologies (APT) group within the National Ignition Facility and Photon
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, neuromodulation, rehabilitation, or related research; Experience using neurophysiological assessment techniques and equipment (e.g., high-density electromyography and motor-unit decomposition); Strong
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the CISS effect in molecular systems. Method development, potentially in the realm of time-dependent current DFT, will likely also be required as we learn about physical phenomena underlying the CISS
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. Qualifications We Desire Experience with laser, pulsed power sources, high density plasma interactions and/or conducting high energy density experiments. Experience with optoelectronic device
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, including genome-wide association studies (GWAS), population genetics, and structural variation analyses. Contribute to the development of genomic resources, including high-density genotype datasets, SNP