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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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/computational mathematics, engineering, biostatistics, statistics, and hands-on demonstrated experience in deep learning or a PhD in any of the previously mentioned fields. Work Week: Standard (M-F equal number
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. · Attend, participate and provide input at monthly resident journal club. Unique duties: Qualifications: · PhD degree required. · 3-5 years of experience in research, statistical analysis
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qualifications should include: · PhD degree in applied biostatistics/statistics or related field. Demonstrable record of accomplishments and peer-reviewed publications. City of Hope is an equal opportunity
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organizational skills. Demonstrated use of version control software (e.g., git) to ensure reproducibility of analyses. Experience with clinical trial protocols. MS or PhD in statistics preferred. Employment is
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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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from an accredited college or university may be substituted for all of the experience required for the Research Statistician IV level. (4) PhD degree, including the thesis, in statistics or in any
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for the Research Statistician IV level. (4) PhD degree, including the thesis, in statistics or in any of the appropriate subject matter fields including but not limited to biology, economics, criminology, and
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thorough and at the same time adaptable and innovative in conducting statistical analysis. Preferred Education, Experience and Skills: PhDs encouraged to apply. Previous work experience as the primary