552 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" uni jobs at Harvard University
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, Excel, Outlook; must be able to learn new computer applications. To be successful in this role the individual will need to possess the following skills and competencies: Strong attention to detail and
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modern spike sorting toolkits, machine learning or statistical modeling of neural data, and reproducible code practices (version control, documentation). · Background in neurodevelopmental
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data using python. Report results using a variety of scientific, word processing, and presentation platforms. Maintenance and cleaning of additional laboratory equipment and glassware. May instruct other
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periods of sitting at a desk and working on a computer. The role frequently involves attending in-person meetings, presentations, and events, including moving between buildings on campus. The employee must
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are looking for people who are/have: Strong computer and analytical skills including extensive prior experience with Excel, and knowledge of PowerPoint and Word Highly organized and detail oriented with strong
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, and keen attention to detail. Proactive and able to manage multiple responsibilities, set priorities, take initiative and meet deadlines. Excellent computer skills including in-depth understanding
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assigned. Job-Specific Responsibilities: Create and maintain FileMaker Pro (FMP) database of event invitees, the main event tracking tool. Significant amount of computer work, downloading invitation pools
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and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence
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and Harvard’s team and Intercollegiate Ethics Bowl. Travel with Ethics Bowl team to regional and national competitions, as needed. May teach independent study course, as approved through a partnering
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Machine Learning Engineer (MLE) / Data Scientist (DS) to support the end-to-end management, analysis, and visualization of behavioral and clinical data streams. The full-stack MLE/DS will work on studies