428 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Inserm" positions at Harvard University
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implementing best practices in data synthesis and translation and supports a broad set of university functions, works closely with partners across Harvard. Link to OIRA website: https://oira.harvard.edu/ Job
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Public Health Academic Pipeline Program in Maternal and Child Health (MCH) of the Harvard T.H. Chan School of Public Health (HSPH) invites applications for a full-time postdoctoral training fellowship
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intellectual leadership and impact in a field of study and teaching relevant to Australian Studies. Candidates who are qualified to teach in a department, degree program or field of study offered in the Faculty
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transform visual information. We use large-scale electrophysiology and closed-loop visual experiments with macaque monkeys to discover the principles underlying cortical computation. We are seeking highly
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relationships across all levels. Excellent customer service and oral and written communication skills. Strong proficiency with the Microsoft Office Suite. Competency using a variety of computer software
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will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social scientists who harness tools of AI, data science, and
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contact information for three references. The CfA hosts a strong research program in astrophysics and provides a stimulating environment. Special Instructions Letters of reference should be submitted by
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber
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record in their doctoral program and strong demonstrated potential to conduct research at the forefront of their field. Candidates should submit a current CV, research statement, teaching statement, three
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the Data Science Master’s program and the Area Chair in Computer Science based on need and candidate preference and expertise. Assignments will be taken from a set of courses in machine learning and data