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Field
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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Postdoctoral fellow with expertise in Cryo-EM data collection, data processing, generation of cryo-EM
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fields populated with an abundance of often dubious country performance indicators. Such indicators promise scrutiny and accountability to citizens and better information to policy makers. But how
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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dynamics simulations. The project will entail programming (scripting, Python etc.), handling big data and carrying out all-atom and coarse-grained molecular dynamics simulations on high-performance super
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of this position will be the investigation of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic health records-based databases, tumor
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems