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high-performance computing resources (Linux), contributing to scientific publications and grant applications, collaborating with multidisciplinary teams, and ensuring the successful delivery of project
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, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
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the cavity, we will perform high-resolution spectroscopy of an ultra-cold ytterbium ensemble coupled to a single mode high finesse Fabry-Perot cavity to estimate the atom-cavity coupling. The next objectives
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Classification Title: Postdoctoral Associate Theoretical and computational quantum information Classification Minimum Requirements: Ph.D. in Physics, Computer Science or closely related areas Job
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problem-solving and analytical skills High degree of computer and internet literacy, including excellent working knowledge of MS Office Suite Superior oral and written communication skills; ability
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 5 hours ago
with the operation of particle detectors is required. Salary and benefits are according to the German public service pay scale (TVöD Bund). The contract is initially limited to two years and can be
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering, distributed systems, or DevOps are encouraged to apply, as
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describing manufacturing process and structural performance are of nonlinear and multiscale nature. As those high fidelity models are not suitable for control applications, equivalent and efficient physics
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on persona-based social simulations for aiding policy design. Position Overview This research project will focus on building and evaluating novel LLM-based systems for performing computational social