Sort by
Refine Your Search
-
-of-the-art IT infrastructure. Ideal candidates should hold a PhD in the area of Computer Science or Electrical and Computer Engineering and have strong programming skills including Python. Past work in
-
part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive and non-invasive neurostimulation. The strong interdisciplinary and
-
research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
-
implementation of citizen science initiatives, including outreach programs, sample collection protocols, IRB compliance, participant recruitment, and data return strategies Collaboration with international
-
preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the primary purpose
-
Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
-
the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
-
Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
-
include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research training
-
may include teaching responsibilities. The appointment is generally preparatory for a full-time academic or research career. The appointment is not part of a clinical training program, unless research