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interfacial reactions within energy storage materials. In addition, the applicant will be expected to help train new scientists (graduate students, post-BS, and post-docs) with suitable laboratory procedures
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by publications in peer-reviewed journals. Ability to work effectively both independently and within interdisciplinary, collaborative research teams, including mentoring students, managing multiple
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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, algorithms, applications, compilers, runtimes, and system-level constraints. Work with project teams to formulate and evaluate novel research ideas, develop research software and prototypes, mentor students
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verbal and written forms. Ability to collaborate with scientists, engineers, and sponsors. Interest in mentoring student internships. Applicants cannot have received their PhD more than five years prior
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computing. Redesign of storage systems to meet evolving demands in AI/ML and edge-to-HPC workflows, including support for data movement, retention policies, and user-defined storage behaviors. Major Duties
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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research team, you will play an active role in the search for neutrinoless double-beta decay of Ge-76 with the LEGEND-200 experiment, currently operating at LNGS, help lead the R&D, design, and
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researchers, technicians, and students to shape and drive the research agenda. Present and report research results and publish scientific results in peer-reviewed journals on time. Ensure compliance with
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modeling techniques and make fundamental contributions to the field. Interact with other researchers, technicians, and students to shape and drive the research agenda. Present and report research results and