198 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "University of London" Fellowship positions at Harvard University
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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Position Description We are seeking a Research Fellow with an undergraduate or masters degree in Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data
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. Additional Qualifications Special Instructions Letters of recommendation are required at the time of application. Candidates should submit with their application contact information for two to three references
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of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
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. For more information, visit our lab website at janetsonglab.com. Basic Qualifications PhD in a relevant field, or have completed all requirements for the PhD by the anticipated start date. Additional
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, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used to explore a range of questions, with topical focus flexible. Duties will involve helping coordinate a weekly