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Field
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supervision of Dr. Anita Schuchardt to conduct an NSF funded research project related to instructors’ and students’ sensemaking of mathematics in sciences. In general, the post-doctoral researcher will be
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extend and develop. Job Requirements REQUIRED: Ph.D., in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large
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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 hours ago
. Discipline(s): Business (3 ) Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (9 ) Earth and Geosciences (3 ) Engineering (27 ) Mathematics and Statistics (4 ) Other
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and society, is developing an emerging research and teaching program in design that embraces Princeton's commitment to the betterment of humanity through deliberative, informed, and thoughtful design
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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science or closely related field in hand by October 1, 2025
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. Qualifications: - Applicants should have (or expected to get in a near future) a Ph.D. in applied mathematics, electrical engineering, computer science, or other related fields. - Strong quantitative and
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, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C