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Field
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and ML-based algorithms and applications. The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage technologies—such as NoSQL, graph, and time-series
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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of computer algorithms/code related to simulations, data analysis, visualization and dissemination in support of space physics research. Job Duties 65% Implementing, testing, editing and running simulation
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involving large administrative claims, EHR, survey, or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as assigned. Required
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sustainable societies. Key Responsibilities: Design, implement, and tune digital control algorithms for power converters tailored for smart grid applications. Model and simulate control systems including
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collaboration with other CEA teams, notably ; * Parallel and cluster computing environment and efficient LP/MILP algorithms for our large-scale models ; * Data structuring and storage solutions for model input
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science, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics
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and expressing the mathematical properties of existing algorithms in preparation for publication and peer review. The algorithms are written, tested, and functioning. Timeline is ~3 months. Compensation
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications: Potential for or experience with writing grant proposals to funding agencies. About