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. or Ph.D student in Experimental Medicine, Epidemiology or Biostatistics. If statistics or biostatistics are not the applicant's primary discipline, should have completed at least introductory statistics
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The Department of Mathematics & Statistics invites applications for a Sessional Lecturer to teach the following courses during the following session(s): 2024-2025 Regular Session Course Number
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utilizing GIS, Statistics or Qualitive Research methods and grading these projects. Holding regular office hours or arranged appointments to meet with students. Qualifications: Demonstrated knowledge
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level A Job Title Biostatistician Department Nicholls Laboratory | Department of Psychiatry | Faculty
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level B Job Title Clinical Data Scientist Department Carlsten Laboratory Division of Respiratory Medicine
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of Surgery, Division of Experimental Surgery is seeking a Course Lecturer to teach the FALL 2024 semester; Statistics for Surgical Research. Course Title and Course Number: EXSU 606 - Statistics for Surgical
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Najafabadi lab encompasses the development of computational and statistical frameworks to decode these regulatory instructions, understand the evolutionary mechanisms that have shaped them, and decipher
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: Desautels Faculty of Management Course Title and Course Number: Mathematical and Statistical Foundations for Analytics MGSC 660 Estimated Number of Positions: 1 Total Hours of Work per Term: 180 Position
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level B Job Title Manager, Data Science, PROOF Centre Department Tebbutt Research Laboratory | UBC James
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 3 days ago
), the Statistician/Biostatistician will apply their knowledge and skills in data analysis, statistics, data visualization, and interpretation to large datasets in order to support the PI across multiple projects. Key