Sort by
Refine Your Search
-
About the Opportunity The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, Khoury School of Computer Sciences, and
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 23-Sep-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
-
student mentoring Qualifications: The candidate must hold a Ph.D. in a relevant field, including computer science, human-centered computing, information or data science, or psychology by the appointment
-
quantum chemistry calculations and data-driven materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore
-
., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
-
such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious
-
., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
-
: Demonstrates the ability to plan and execute research. Excellent verbal, and written communication skills, attention to details, as well as training in research methodology and quantitative data analysis
-
. Excellent verbal, and written communication skills, attention to details, as well as training in research methodology and quantitative data analysis. Knowledge and skills required for this position
-
well as helping with general daily laboratory upkeep tasks. The position involves a substantial amount of mouse work as well as mammalian cell culture, general biochemistry and molecular biology techniques, flow