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for the environment of a small student-centered university. The successful candidate will have a PhD in Mathematics, Physics or related field or extensive applicable experience and must be able to teach lab-based
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Professors are expected to hold a PhD degree in some area of the Mathematical Sciences or a related discipline. The teaching positions are 10-month, full-time, non-tenure track appointments. Successful
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. Qualifications Applicants should: (a) have a PhD degree in Mathematics / Statistics / Financial Mathematics / Operations Research / Computational Mathematics / Applied Mathematics or a closely related field
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communication and collaboration skills. Preferred Qualifications PhD in Computer Science, Applied Mathematics, Mathematics, Statistics, Electrical Engineering, Physics, or a closely related field. Required
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and competitive positions are published at https://www.polito.it/en/education/phd-programmes-and-postgraduate-scho… Where to apply Website https://www.polito.it/didattica/dottorato-di-ricerca-e-scuola
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. Qualifications: PhD in Mathematics, Financial Mathematics, Statistics, or closely related field Demonstrated graduate-level teaching experience Active research profile preferred Ability to teach in English
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. PhD in one of the fields represented at BIMSA should be completed before the appointment begins. Further Information: Research groups: https://www.bimsa.cn/yjtd Application Materials Required: Further
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. LanguagesENGLISHLevelGood Additional Information Website for additional job details https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-on-secresy4you-msca-n… Work Location(s) Number of offers available1Company
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 4 hours ago
Position Details Position Information Position Title Part-Time Academic (MATH 1030.03 - Matrix Theory & Linear Algebra I) - Summer 2026 Posting Number PTAP3223P Department/Unit Mathematics
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interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI, computer science, population biology or a similarly quantitative discipline