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and commissioning tools. What You Will Do: Conduct pioneering research in the development and application of machine learning algorithms for accelerator physics. Collaborate with interdisciplinary teams
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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to numerical simulation algorithms? Then apply now to join our team of theoretical researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere of play: As a
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of knowledge and the recognition of expertise. In light of these developments, it is more important than ever to produce and attend to work that insists on examining the ideological assumptions and historical
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differentiation and melanoma and multiple myeloma biology utilizing cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing
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contributing to grant development. The Fellow will also assist in lab management, mentor junior team members, and support regulatory and administrative compliance. Qualifications: PhD in Biology, Microbiology
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Edinburgh. The position is available from 1st October 2025 for a 2-year, full-time contract. You will join the mathematical physics group, which consists of fifteen faculty members and multiple postdoctoral
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. The candidate will be actively collaborating with multiple academic and industry team members and thus good communication skills are desired. The candidate is expected to participate in the development of project
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communicate with community partners. The candidate will also be expected to assist with project reports and administration, engage in report development and submission and other related activities
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms