Sort by
Refine Your Search
-
Listed
-
Field
-
of malignancies, blood disorders, and experimental therapies. Job Summary The Data Scientist will lead data science research efforts within breast cancer program in the Section of Hematology/Oncology in
-
in population health studies, as well as research conducted in wet laboratories on tumor biology, fibroid research, and hypertensive diseases in pregnancy. Additionally, the Section of Family Planning
-
comprehensive University-wide donor relations program that enriches the relationship between donors and the University. Plans, organizes, and leads the donor program to recognize, steward, and cultivate
-
of malignancies, blood disorders, and experimental therapies. Job Summary Under supervision, the Research Technologist will be involved in a cutting-edge basic and translational cancer research program that
-
of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences
-
Department BSD IPP - Lab Research About the Department The newly created Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide
-
and increase the engagement of the University's alumni, donors, and friends. Job Summary This position performs a range of professional activities related to the donor relations program to enrich
-
< 2 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education A bachelor's degree (or higher) in neuroscience, cognitive science, computer science
-
related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree with a major in computer science, statistics, business, or similar field. Experience: Professional work
-
units, including Physical Sciences Collegiate division quarterly governing committee and curricular meetings, IP and SIP welcome lunches, meetings of the faculty and unit leads, Collaborative Learning IP