292 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
safety concepts Beneficial to have experience with a range of machining, welding, and fabrication equipment (e.g., lathes, milling machines, TIG/MIG welding, 3D printers, laser cutter). May need to
-
initiative, decisiveness and sound judgment to make time-sensitive decisions. Demonstrated computer skills and experience with email and internet use. Demonstrated proficiency in word processing, spreadsheet
-
Learning Designer is a member of the Learning Experience and Design (LXD) team, a fast-paced, learner-centered design and development team within Professional Education (PPE) at the Harvard Graduate School
-
diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
-
where innovation, continuous learning, and work-life balance are valued. Learn more about the School’s mission, objectives, and core values , our Principles of Citizenship , and about the Dean’s AAA
-
believe all students will learn and thrive when education leaders make decisions using facts and findings, rather than untested assumptions. By generating relevant and accessible research, developing
-
billing (e.g., pressures, temperatures, flows, oil levels, meter readings, etc.) Completes daily logs and prepares reports as necessary, enters daily information in computer. Maintains chemical treatment
-
, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status. Additional Qualifications Special Instructions Application
-
. 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
-
project areas: Building and integrating software Community building and outreach Usability and UX Writing math proofs Machine learning and differential privacy Privacy, ethics, policy, and responsible use