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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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team across academia and healthcare policy. Facilities: The PhD student will be based in Population Data Science at Swansea University with visiting PhD Student Status at the Department of Statistics
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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Requirements include: ● A PhD in statistics or related discipline ● Excellent proficiency in English (written and verbal, as faculty are expected to teach courses in English
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, centers, research areas, and curricular programs, please go to our web page at: http://www.stat.columbia.edu Qualifications PhD in statistics or related field by the date of appointment Application
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? Ph.D. student in systems engineering with a focus on statistical modeling The research will be
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 7 hours ago
-normalizados ) or the Beatriu de Pinós AGAUR 2025 call (https://agaur.gencat.cat/en/beques-i-ajuts/convocatories-per-temes/Ajut… ), including the following: Doctoral degree: Applicants must hold a PhD in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
benefits and protection from harms. Applicants must have earned a PhD degree in Statistics, or a related area (such as Computer Science, Data Science, Quantitative Social Science, Sociology, Economics