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to last at least twelve months, with the possibility of renewal. The successful candidate will be able to work autonomously, while performing high level statistical programming, data compilation and
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staff, and other Harvard University staff such as the Department of Athletics, NSC, and ECHO to identify program’s needs; participates in program development, implementation, and evaluation as determined
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considered for this role: Graduate of a U.S.-based residency program. Board certified or eligible in Internal Medicine, Emergency Medicine, or Family Practice with current licensure in Massachusetts. Current
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. Develop a long-term (10-year) AV refresh plan to guide institutional financial planning. Maintain a current inventory of AV-enabled spaces and conduct technology assessments to identify opportunities
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. This position is specifically targeted to candidates interested in computation in recurrent neural networks and is funded for multiple years by the NIH. Responsibilities: Successful candidates will conduct
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with Word, Adobe Acrobat Pro, Excel, PowerPoint, and ability to learn new software programs as needed. Additional proficiency with internet applications, such as YouTube, Google Drive, etc. A proactive
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Certificates (RECs)). This includes staying informed of energy rebate, conservation and efficiency programs sponsored by external utilities as well as city, state and federal programs; advocates for and
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institutionalize business, technical, and process knowledge; interest and ability to assess and improve work processes AV installation experience Crestron Programming experience Preferred experience in computer and
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launch of a new Opportunity Evaluation and Markets Initiative that uses newly developed big data matching methods to systematically evaluate social programs and scale successful programs. This is a rapidly
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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