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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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an extended period of time working at CERN during which participating in data taking, detector building or detector commissioning activities. The PhD project will involve data analysis, advanced statistical
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assistance, including travel assistance, visa facilitation, and temporary accommodation to ensure a smooth transition Qualifications Academic background: PhD in Mathematics, Statistics or related areas from a
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eHealth Lab (google.com)). We are seeking someone who has completed their doctoral training (PhD) in epidemiology, statistics, or biostatistics and is interested in vision and eye health, heath equity
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Atlantic Association for Research in the Mathematical Sciences | Saint John East, New Brunswick | Canada | about 11 hours ago
position in Statistics, at the rank of Assistant Professor, to start July 1, 2026. This position is subject to budgetary approval. The successful candidate will have a PhD in Statistics (candidates with a
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an intelligent, creative, hardworking, and enthusiastic team player for this project. The PhD student is expected to participate in statistical analysis, the design, development, and implementation
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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to apply Website https://www.academictransfer.com/en/jobs/357270/phd-candidate-in-information-sy… Requirements Specific Requirements Please review the formal admission requirements here . In short, we
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for your review: http://adminrecords.ucsd.edu/PPM/docs/230-311.html Qualifications Basic qualifications (required at time of application) Candidates must have an MD or equivalent, PhD or MD/PhD in Cancer
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, at the undergraduate, advanced and PhD levels. We regularly publish solid contributions at the best machine learning conferences. STIMA is characterized by a modern view of the statistical subject, where probabilistic