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, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Senior Data Scientist to help drive forward a diverse research program focused on public sector artificial intelligence (AI
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will be able to teach Discrete Mathematics, Design and Analysis of Algorithms, Models of Computation, and Algorithms and Data Structures. The exact courses tutored may vary but would likely consist of
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The School of Mathematical and Physical Sciences is recruiting to this position funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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Status: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall
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- Computing: Experience with real datasets and parallel computing - Algorithm Development: Ability to develop and optimize Statistical algorithms for various applications. Research & Analytical Skills - Ability
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enable the digitisation of strategies for the expert. The concept is also used to describe an algorithm for the development of process parameters to eliminate laser-induced roughness during laser polishing
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. Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction. Conduct experimental validation of humanoid robotic systems in lab and real-world environments
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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from