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, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. · Acquires Specialized Training. Attends trainings and skill development workshops as necessary
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Qualifications Doctoral degree in statistics, biostatistics, computer science, applied mathematics, or a related quantitative field. Excellent programming skills, as well as strong oral communication and writing
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Details Title HMS - Postdoctoral Fellow in Translational Cancer School Harvard Medical School Department/Area Harvard Program in Therapeutic Science Position Description We invite applicants for a
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American Association for Cancer Research: Postdoctoral Fellowships Eligibility: varies by program Deadline Month: varies by program Description: These fellowships provide research training and
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Fellowship program supports postdoctoral researchers at the Museum of Comparative Zoology (MCZ) at Harvard University to pursue the discovery and formal taxonomic description of Earth’s animal species. Fellows
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candidate will work with Dr. Florence Bourgeois and Unit collaborators to develop an independent research project within the scope of the Center’s research program. In addition to carrying out data-driven and
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for verified programming. Additionally, there would be opportunities to apply the work in precision medicine. Core Responsibilities: Conduct independent and collaborative research. Disseminate research findings
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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datasets as well as optimally leveraging integration with existing genomics datasets. The role will often involve rapid prototyping in support of a dynamic, fast-moving experimental program; it is focused
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larger collaborative research program. The postdoctoral fellow will be part of a multidisciplinary team at Harvard and will collaborate with research groups outside Harvard involved in the broader project