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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. The successful candidate should have extensive computational RNA biology experience
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applied empirical methods and econometrics, with research interests in business/labor/environmental/health economics. The Institute is well supported by a team of research assistants. Successful candidates
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Research in the Division of Population Health, Health Services Research and Primary Care, supporting delivery of a NIHR SPCR mixed-methods research project examining how continuity of care in general
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experience. Experience with women’s, maternal, or infant health research and molecular or cellular laboratory methods; experience with Multiomics and/or bioinformatics would be an asset. Demonstrated expertise
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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review, and with geochronological methods used to date past earthquakes Proficiency with relevant mapping, drafting, GIS, and structure-from-motion software Good written and oral communication skills
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technical elements of computational astrophysics research, which may include but are not limited to: algorithm and software development; application or development of computational or statistical methods
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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updates that may occur and are applicable. The fellow may also be reimbursed for the amount corresponding to the Voluntary Social Security, in case of adherence to this plan. 11. Selection methods
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis