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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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strong background in statistics and substantial experience conducting quantitative research. Experience with research related to the project will be advantageous but is not essential. A background in
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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outstanding PhD in psychology, research experience in aging psychology and development in adulthood and excellent statistical methodological skills. You will have the opportunity to work in a highly motivated
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an initially solid-like state firsts yields and starts to flow, and in particular on the statistical physics of how initially sparse plastic events in an otherwise elastic background then spatio
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neurodiversity to work within established research programmes. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent communication skills and the
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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of Social Sciences but will also work also closely with colleagues in Social Statistics and Computer Science. The work shall be carried out in line with the grant application granted originally by the ERC (as
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an initially solid-like state firsts yields and starts to flow, and in particular on the statistical physics of how initially sparse plastic events in an otherwise elastic background then spatio
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design, power calculations, and statistical methods, with scientific rigour in planning and interpreting experiments. Skilled in scientific writing, data presentation, and teamwork; maintains accurate