514 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at Harvard University in United States
Sort by
Refine Your Search
-
School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Description Launched in 2022, the Digital Data Design Institute at Harvard (D^3) is a global
-
team. Ideal candidates will have excellent verbal and written communication skills. Additional Information Standard Hours/Schedule: 35 hours per week Compensation Range/Rate (including Shift Differential
-
-level discussions. Analytical rigor, creative problem-solving, and ability to synthesize complex technical information into actionable recommendations. Ability to work independently while collaborating
-
substrate to do novel work. In this role you will gain experience developing approaches to research and analyze large multimodal datasets, with data ready to analyze you can focus on developing research
-
driver’s license and satisfactory driving history Massachusetts hydraulic hoisting license (Must complete and pass Mass. DOT physical at agreed upon time after date of hire.) Additional Information Work
-
, Microsoft Office, FileMaker Additional Information Standard Hours/Schedule: 35 hours per week including evenings and weekends as needed Compensation Range/Rate (including Shift Differential if applicable
-
the minimum entrance requirements, the Commonwealth may review later in the application process, if applicable: · Criminal Offender Record Information (C.O.R.I.) and; · Sex Offender Registry
-
with External Relations to cultivate and steward donor relationships and secure collection-building opportunities. Technology & Innovation: Advance digital access, data preservation, and the use
-
projects, as well as responding to emergencies. Possesses the ability to make sound and immediate decisions and solve problems, including thoroughly gathering information to inform problem-solving. Strong
-
of these prototypes through hands-on, mentored research projects, 4) Assist with data science analyses related to medical decision making in global health, acquiring new skills and methodologies through supervised