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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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: Collect and critically analyze relevant literature Build and analyze models for predicting dynamic trickle bed reactor operations, including material and energy balances, reaction kinetics, mass and heat
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written and spoken English and work constructively in an interdisciplinary, international team. Experience with quantum software frameworks, high-performance computing, open-source software development
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management High-performance computing and large-scale data analysis Innovation, entrepreneurship, and technology transfer Scientific communication and transferable skills Training activities will be organised
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
. Description: We are seeking a postdoctoral researcher specializing in silicon detector characterization and optimization for high-performance space imaging applications. The successful candidate will focus
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to preserve data reproducibility and manage the lab's local data storage server or cloud compute clusters. Perform other duties as assigned. Salary Range : $50,050- $55,000 Qualifications Qualifications
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tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better
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exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: High school diploma
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priorities as needed, and efficiently execute project tasks. Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high
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managing time sensitive tasks with deadlines; failures to meet these deadlines may negatively affect the research program, funding opportunities and internal and external relationships. A high degree of