324 cloud-computing-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Harvard University
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Requirements: Lifting (approximately 20 to 30 pounds), bending, and other physical exertion Ability to stand for extended periods Qualifications Basic Qualifications: Graduate of accredited nursing program
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Development and Education Program at the Harvard Graduate School of Education. The EASEL Lab explores the effects of high-quality social-emotional interventions on the development of children, youth, teachers
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policy expert, well-versed in University and HBS policies and how they intersect. Works across all parts of the D^3 research program, quickly understanding new projects and their compliance needs. Flags
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. Working Conditions: Work may be performed in a clinical setting. Prolonged periods of sitting at a desk and working on a computer. Walking and navigating around clinical and laboratory spaces. Must be able
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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to appoint one or more postdoctoral fellows beginning in November/December 2025. We are looking for candidates with interests in the use of atomic cavities and atomic arrays for quantum computing. Candidates
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Master’s degree Graduate of accredited nursing program Licensed in MA with authorization to practice as a Certified Nurse Practitioner in the state of Massachusetts. State and Federal DEA Certificate
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health care research. Must be proficient with most computer software, including Word, Excel, and PowerPoint. Independent judgement, patience, and excellent communication skills are required to respond
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for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Managing and mentoring
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern