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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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programming, statistics, computational analysis and if possible environmental awareness. • Prior experience working with LiDAR or point cloud data will be a definite bonus. • Excellent project management
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about technical support in computational analysis using bioinformatics and statistical tools. Learn about conducting phenotype trials related to sugarcane genetics and genomics. Learn about conducting
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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science, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries
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within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
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in the area of statistics and related areas. Individuals in those positions are expected to conduct a program of research in collaboration with one or more faculty members in the Department
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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, statistics) and support researchers across the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising
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clinical trial portfolio for a research programme in antimicrobial resistance and work to support colleagues in data-enabled trials. You will also undertake statistical methods research associated with