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/software monitoring etc Demonstrate an understanding of practical applications of bioinformatics for immunological or inflammation research Ability to assess resource requirements and use resources
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requirements and use resources effectively Learn and keep abreast of latest technological, methodological and software developments Understanding of, and ability to contribute to, broader management
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project managing research to deliver high quality results. Ability to communicate complex information clearly, to a wide audience. Strong report-writing and proposal-writing skills. Confidence in networking
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, the project's main goals are to: Determine the effects of small molecules on the cell types and tissues most affected in mitochondrial DNA disorders, with particular emphasis on neurons and cardiomyocytes. Define
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Institute. Postdoc candidates have access to numerable formal and information didactic and networking opportunities as well as internal fellowships and career development grants
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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and networks Help with training Master and PhD students and other group members who are working on similar areas Supervise student's projects at both undergraduate and postgraduate levels Person
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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and across DFCI and partner institutions at Harvard Medical School and its affiliated hospitals. The candidate will, under the mentorship of Dr. Cancelas, design experiments to define biological
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analyses using statistical software, such as SAS, R, and others. Participate in group meetings and work collaboratively on larger projects with other group members. Generate data for figures and tables