Sort by
Refine Your Search
-
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
-
the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members
-
development including radiological imaging of cadaveric specimens for teaching and research. Candidates will be expected to participate in research of any type in association with faculty in the Department
-
investigates the geochemistry of critical minerals (e.g., lithium, rubidium, rare-earth elements) through the life cycle of mining, processing and utilization. We seek to develop geochemical and isotope tracers
-
join a vibrant interdisciplinary community, participate in professional development activities, and collaborate across departments to advance Duke’s Climate Commitment. The program emphasizes faculty
-
to cultivate the next generation of leaders in climate and sustainability research and education. Fellows join a vibrant interdisciplinary community, participate in professional development activities, and
-
background in protein chemistry, molecular genetics, genomics, and/or plant development. GA perception by its nuclear receptor, GIBBERELLIN INSENSITIVE DWARF1 (GID1), triggers polyubiquitination and
-
until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Occupational Summary The Duke Quantum Center is seeking a Postdoctoral Researcher to develop a research
-
for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
-
Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and