Sort by
Refine Your Search
-
environment at Duke is ideal for our translational research efforts. Applicants must : 1. Hold a PhD with relevant skillsets in programming (including Python) and machine learning methods for image
-
organoids, CRISPR-Cas9 gene editing, single-cell RNA/ATAC-seq, and spatial transcriptomics. A PhD, MD, MD/PhD, or equivalent degree in biomedical sciences-related fields and a track record of publications in
-
interactions and scheduling, manuscript preparation, IRB submissions, and the supervision of students and research assistants. Applicants must have completed a PhD in sociology or psychology prior to the start
-
. Requirements: - PhD or MD/PhD in a relevant field - In-depth knowledge of the central nervous system and a strong background in metabolic disorders are required. - Extensive laboratory experience, particularly
-
Institutional Training Initiative (CITI Program) for conducting research will be provided at Duke Requirements: - PhD, MD, or MD/PhD in a relevant field - Demonstration of conducting clinical research in the past
-
Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral
-
an extension of another year depending on successful progress. QUALIFICATIONS: The applicant should hold a PhD in Earth Science or a related field and have research interests in glaciology. We are particularly
-
require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
-
, high core density CPU servers, and AI-optimized GPUs. The position is for 2-4 years depending on the candidate’s interests and experience. Requirements: Ideal candidates should hold a PhD in the area of
-
contingent on performance. The start date is flexible, but ideally by September 2023. Requirements: Candidates should have: • a PhD in engineering, environmental science, environmental or natural resource