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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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Ref.: 532561 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Post-doctoral Fellow in the Division of Cardiology of the Department of Medicine, School of Clinical Medicine (Ref.:...
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Computer Engineering, Applied Mathematics or a related field in hand by the start of the appointment. The new AI Innovation Institute at Stony Brook University invites applicants for Postdoctoral Scholars
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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Job Description The Opportunity The Department of Aerospace Engineering, at the Daytona Beach Campus seeks a post-doctoral researcher to develop novel mathematical and computational tools
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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Computer Engineering, Applied Mathematics or a related field in hand by the start of the appointment. The new AI Innovation Institute at Stony Brook University invites applicants for Postdoctoral Scholars
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inference attacks, to mitigate privacy leaks in MMFM. You will hold a PhD/DPhil (or be near completion) in a relevant discipline such as computer science, data science, statistics or mathematics; expertise in
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to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the
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or economics), epidemiology, biostatistics, statistics, data science, applied mathematics, or related field Other skills & competencies: Data management and cleaning and conducting descriptive analyses