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Field
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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of the Postdoctoral Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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program will harness state-of-the-art 'omics' technologies, including comparative genomics, population genomics, and transcriptomics, to: Utilize genomic and transcriptomic data to build comprehensive
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employers to help build a post-graduate fellowship program focused on in-house counsel roles. Work closely with external foundations seeking to fund law student and graduate public interest jobs. Manage the
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires
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release software for the research community. Individuals in our group publish in top academic conferences including: • ACM (Association for Computing Machinery) SIGCOMM (Special Interest Group on Data