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Field
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naturally leads to symmetric failure scenarios, which are reflected in BP models. However, current BP software can neither detect nor exploit these symmetries. As a result, despite BP’s strong modeling
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scenarios. This will involve, on the one hand, working with software defined radio equipment based on Universal Software Radio Peripheral (USRP) platforms, in order to provide software flexibility
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biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
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• Contributions to prominent open-source machine learning software projects, experience performing code reviews, and experience working in a team software development setting • Evidence of competitive excellence in
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Department of Chemical and Biological Engineering Posting Number P260025 Posting Link https://www.ubjobs.buffalo.edu/postings/61152 Employer State Position Type UUP Professional Professional Appointment Term
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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includes a substantial component of traditional scientific computing, as required by the everyday operation of the facility. Where to apply Website https://www.elettra.eu/about/careers.html?id=4285
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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modeling, decision analysis, or related field. Experience using a distributed version control system, such as Github, to track code changes and manage software collaboratively. Experience with HIV outcomes
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu