847 data "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
flexible measurement tools and will use advanced knowledge of quantitative research methodologies and data science techniques to manage, extrapolate, and analyze research data. The ideal candidate has a
-
, and two to three references’ names and contact information. Applications must be received by March 9th, 2026. For more information, please visit our website at liaulab.com or contact the department
-
collaborative and international environment. Special Instructions Contact Information For further information, please contact petros@seas.harvard.edu . Contact Email lreck@seas.harvard.edu Salary Range $67,600
-
, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used to explore a range of questions, with topical focus flexible. Duties will involve helping coordinate a weekly
-
integrity. Identify errors and glitches and address accordingly. Coordinate new title setup with key stakeholders. Input and update data in select Biblio modules to ensure accuracy. Onix Feed and Cover
-
conduct annual utilization reviews and present data-informed recommendations. Cross-CADM Initiatives (“One CADM”): Serve as operational lead for select cross-functional initiatives. Translate strategic
-
excellent verbal and written communication skills. Additional Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship
-
of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
-
units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
-
cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and