47 parallel-computing-numerical-methods Postdoctoral positions at Duke University in United States
Sort by
Refine Your Search
-
. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of
-
applications in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
-
Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus on delivery methods
-
design and management; mentorship and coordination skills; familiarity with plant ecophysiology lab methods. Position details: • Start date: Flexible, as early as August 2026 • Location: Durham, North
-
approaches, computational biology, and molecular genetics to achieve base-pair resolution mapping of chromatin landscapes. As a postdoctoral researcher, you will design and conduct independent and
-
experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital holography and electronic systems
-
the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This
-
research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with
-
training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. The appointee works under the supervision of a scholar or a department at Duke
-
, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control