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Field
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stresses. Scientific objectives : This thesis is part of Axis 2 of the project, which aims to propose a mean-field method for estimating the effective properties and statistical fluctuations of local fields
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data Qualifications • Qualifications/Discipline: PhD degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc) • Skills
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We are seeking a talented and highly motivated PhD student (m/f/d) to undertake pioneering research in bioinformatics and genomics at the interface with biology. The applicant (m/f/d) should bring
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or related field with 4+ years' experience or PhD in Statistics/Biostatistics or related field Effective verbal and written communication skills Understanding of broad statistical theory and its application
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elementary statistical analysis in Epidemiology using software such as STATA and R. Location: EDUC, Room 129 Schedule: Thursday, 11:35 to 12:55 Credits: 1 Teaching Qualification Requirements: Education: PhD
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regression. Location: RPHYS, Room 115 Schedule: Tuesday/Thursday, 8:35 - 9:55 Credits: 3 Teaching Qualification Requirements: Education: PhD student in biostatistics or in statistics Experience: Successful
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College, Room 1203 Schedule: Tuesday/Thursday, 11:35 - 1:25 Credits: 4 Teaching Qualification Requirements: Education: PhD in biostatistics or statistics Experience: Previous teaching experience. Successful
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rainfall has some benefits in terms of measuring rainfall in high resolution in time and space which is relevant to pursue in the context of design rainfall for urban drainage systems. The integrated PhD
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pm Expected Enrollment Limit: 100 Location: Saskatoon Qualifications: Completion of a graduate degree, PhD preferred, in Mathematics & Statistics or related discipline and/or possession of relevant
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for presenting your work at international conferences and workshops. The successful candidate should hold, or be close to completion of, a PhD/DPhil in a quantitative discipline, for example statistics