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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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computing environment opportunities to gather experience in statistics teaching (only if you wish to do so) We are looking for: You are holding a PhD degree in statistics, mathematics, or a similar domain
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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy Hands on experience with fibre optics Commercial/spinout exposure Knowledge
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the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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algorithms for the scanner using machine learning and deep learning. Qualifications: The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics
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humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology
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RNA sequencing, multiplex IHC/IF. Molecular biology techniques: PCR, Western blot, DNA and RNA isolation. Immunology techniques: Flow cytometry and other methods. Required Qualifications & Skills: PhD
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have