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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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, presentations). Experience with community-based research or implementation science. Training in advanced statistical methods, qualitative methodologies, or mixed methods. Experience with electronic health records
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. They should be able to start in post as soon as possible. About you The successful candidate will have detailed knowledge of systematic reviews, relevant statistical techniques and evidence synthesis as
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Role type:Full Time, Fixed Term for 2 years Faculty: Faculty of Science Department: School of Mathematics and Statistics Salary: Academic Level A.6 - $110.319 p.a. plus 17% super Lead innovative
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parameters, and statistical data analyses (like, e.g., bootstrapped correlation and response functions, regression frameworks, multivariate statistics using R) Qualifications Requirements for the position
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parameters, and statistical data analyses (like, e.g., bootstrapped correlation and response functions, regression frameworks, multivariate statistics using R) Where to apply Website https://www.jobbnorge.no
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. Performs multivariate biostatistical analysis to support study outcomes. Participates in didactic continuing education. Engages in cardiovascular core curriculum and statistical methodology training. Writes
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
the field. The ideal candidate will have: A completed or near-complete doctorate in Computer Science, Biomedical Engineering, Statistics, Bioinformatics, Medicine or Health Sciences, or a closely related
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statistics and data management (using R) Preferred: Experience designing web-based behavioral experiments Promising publication record Interests in improving education through psychological science The
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behavioral experimental research, and proficiency with programming and statistical analysis software (e.g., Matlab, PsychoPy, E-prime, R, SPSS). Previous experience with clinical populations will be viewed