14 Statistics "Fundació Hospital Universitari Vall d'Hebron Institut de recerca" positions at Michigan State University
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conceiving of a project Performance experiments Statistical analysis of data Strong writing skills Desired Qualifications Experience in packaging, biomaterials and sustainability is desired but not required
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, Statistics, Economics or Research Methodology; three to five years of related and progressively more responsible or expansive work experience in research design, statistical methods and knowledge of computer
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/Experience/Skills Knowledge equivalent to that which normally would be acquired by completing one or two years of post-bachelor degree work, such as a Master's in Educational Administration, Statistics
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, implementation, data management, statistical analysis, and dissemination of primary care research for the Collaborative. This individual will collaborate with primary care practices, including the Family Medicine
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. - Analyze data using statistical methods and present it at group meetings. - Collaborate with lab members on the project and discuss experimental plans. - Present data at weekly lab meeting. - Meet biweekly
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of the research associate may include, but are not limited to: Leading the writing and preparation of manuscripts for peer-reviewed publication Designing and implementing inferential statistics pipelines to analyze
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Experience working with Git or other version control platforms Experience with NetLogo and building agent-based models Experience with Bayesian statistical methods Experience with machine learning and AI Equal
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, gene expression analysis, etc. Skill and experience of working in the greenhouse and field for the evaluation of soybean biological traits independently. Skill in experimental design, statistical
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/access, and the application of statistical and econometric methods to transportation data. The successful applicant will lead day-to-day activities on various research projects funded by public and private
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scripts. • Writing documentation on existing SQL/Python scripts and newly created scripts. • Creating predictive statistical models (including neural network and tree-based logic models) using large