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Field
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
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, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data
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exchange with Teledyne e2v and other project collaborators and contribute to the wider research activities of the CEI, where required. Skills and Experience Essential: A PhD in Physics, Astronomy
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and Experience Essential: A PhD in Physics, Astronomy, Engineering, or a closely related subject. Experience with running experiments and working in a laboratory environment. Proficiency in coding in
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in their cover letter. Tier 2 Chairs are intended for exceptional emerging scholars. Nominees should be within ten years of receiving their PhD or terminal degree in their field. Applicants who
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utilization, adapt or modify algorithms to run more efficiently and consult, train and support our users on best practices along those directions. You are expected to take a holistic approach considering
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-innovator-year-marc-bretons-surprise-journey-diabetes-pioneer The CDT is directed by Boris Kovatchev, PhD, a world-renowned researcher in the field of Diabetes, algorithm development and data science. Dr
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of twelve credits per semester in support of our undergraduate and/or graduate degree programs. We are particularly interested in candidates with experience teaching courses in algorithms, artificial
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent