391 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Harvard University
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industry experience. Previous experience working in a University preferred. Certificates and Licenses: ServSafe certification within one year of employment. Additional Information Standard Hours/Schedule: 28
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industry experience. Previous experience working in a University preferred. Certificates and Licenses: ServSafe certification within one year of employment. Additional Information Standard Hours/Schedule: 24
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industry experience. Previous experience working in a University preferred. Certificates and Licenses: ServSafe certification within one year of employment. Additional Information Standard Hours/Schedule: 20
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industry experience. Previous experience working in a University preferred. Certificates and Licenses: ServSafe certification within one year of employment. Additional Information Standard Hours/Schedule: 25
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pipeline and portfolio management. Comfort with data-driven decision-making and fundraising metrics. Knowledge of industry best practices in philanthropy and fundraising. Familiarity with donor databases
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considered. Candidates who integrate experimental, theoretical, computational, and/or data-driven approaches to accelerate clean energy innovation are particularly encouraged to apply. Basic Qualifications A
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and guidance from Dr. Zitnik, 3) Participate in the evaluation and benchmarking of these prototypes through hands-on, mentored research projects, 4) Assist with data science analyses related to medical
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officials, faculty, students, and donors. Energized by working with students and early-career professionals. Additional Information Appointment End Date: This is a fully benefits eligible term appointment
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by