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, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In addition to working with OI faculty, predoctoral fellows frequently co-author papers with other
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Researcher (R2) Country Canada Application Deadline 1 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The NOVA Institute for Medical Systems Biology (NIMSB) of NOVA
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
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experience. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE
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that provide preparation for graduate school or other industry research positions, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral