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to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with distributed computing or HPC
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architectures, distributed computing, high performance and parallel computing, ethical and sustainable computing, artificial intelligence. The journal will also explore opportunities in emerging and
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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. The department’s 26 tenure-track faculty are strong in research programs in algorithms, artificial intelligence, software engineering, big data, bioinformatics, computer vision, distributed systems, augmented and
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computer engineering, such as, but not limited to: Computer architecture: domain specific architecture, architectures for next generation computing; Operating Systems and computer networks; parallel and
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Job Description Position Purpose: This position will have a major administrative and program responsibility within the Institute for Protein Design (IPD), Department of Biochemistry in the UW School
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algorithms and parallel/distributed variational algorithms in AI/ML for application workflows and large-scale HPC and QC systems Develop quantum machine learning (QML) algorithms for optimization of multi
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. • Knowledge of parallel computing and use of GPUs are desirable. • Supervision and teaching experience is an advantage. • Expertise in dynamical modelling and stellar spectroscopy are assets. • Presentation
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generation computing; Operating Systems and computer networks; parallel and distributed systems; frontier hardware technologies. Communication theory and systems: Digital and wireless communications; Signals