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format features and complex mathematical functions in Word and Excel. Demonstrated success in following through and completing projects. Excellent organizational skills and attention to detail. Strong
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– Skills – Abilities Knowledge of biology, mathematics, computer science, and records management. Work requires resource management, attention to detail, problem solving, coordinating work activities
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– Skills – Abilities Knowledge of biology, chemistry, mathematics, documentation, and records management. Data utilization, complex problem solving, critical thinking, resource management, and writing skills
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About us This is an exciting opportunity to join the Education Team as the Digital Education Manager in the Faculty of Natural, Mathematical and Engineering Sciences (NMES), at King’s College London
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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or
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Position Description: We’re looking for those individuals—the creative thinkers and innovation seekers—who are content with nothing short of changing the world. Discover the endless opportunities within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to...
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Posting Details Posting Details Job Title CCTS Biomarker Analysis Lab Director Requisition Number RE45683 Working Title Department Name 40833:CCTS Clinical Research Dev & Ops Center Work Location Lexington, KY Grade Level 48 Salary Range $62,310-102,821/year Type of Position Staff Position Time...
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of Materials based within the Mathematical, Physical and Life Sciences Division at the University of Oxford on a temporary basis. The Division and Department is a truly inspirational and fascinating environment
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the seminar, exchange ideas and write new articles. Qualifications: Ph. D in Mathematics Annual Salary: (Nil-Salary - Post-Docs Group A) $0.00 Hours per Week: 35 (Full time) Location: Burnside Hall Supervisor
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consultation with the TA Qualifications: Domain knowledge in one or more of the following: bioinformatics, bioengineering, computational biology, biostatistics, biophysics, mathematical modeling, statistics