Sort by
Refine Your Search
-
activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
-
Tata lab in the Department of Cell Biology, Duke University School of Medicine seeks a full-time Postdoctoral Associate to study cellular plasticity mechanisms in lung injury repair and tumorigenesis. We
-
biology. This NIH-funded position is available to study the role of nuclear pore proteins in the regulation of chromatin architecture during neuronal differentiation. The successful candidate will have a
-
skill-based spaces. Provide triage, crisis care, and clinical consultation to Duke students presenting with acute distress. Assess, deescalate, support, and make appropriate treatment referrals. Develop
-
the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
-
oral history work, with regard to Beyond the Veil and the SNCC Legacy Project, the multifaceted history of Duke, and a range of other initiatives. The History Department has a vibrant Ph.D. program, and
-
, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell sequencing, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track
-
or scholarship, and 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
-
presentation skills for engaging diverse stakeholders. Minimum Requirements: Requires a minimum of a PhD in disciplines such as epidemiology, health demography, bioinformatics, statistics, computer science
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning