69 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural
-
of Business at Duke University will have an opening for a postdoctoral position beginning October 1, 2025, to work on projects related to the psychology of successful military veteran transitions
-
27710, United States of America [map ] Subject Areas: Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Statistics / Statistics Appl Deadline: none (posted 2025/02/12
-
Duke University, Nicholas School of the Environment - Durham Program ID: Duke -NSOE-Durham -POSTDOC_MEYER [#28186] Program Title: Postdoctoral Associate - Integrated Toxicology & Environmental
-
settings associated with cancer, Alzheimer’s disease, and stroke. Applicants must: 1. Hold a PhD with relevant skillsets in ultrasound imaging; 2. Have excellent informal and formal written and oral
-
· Possess the knowledge of basic research integrity, values of ownership of a research project, and follow timelines to achieve deliverables Requirements: · MD, MBBS, PhD (with clinical research experience
-
. Salter’s existing research program will also be a plus. Responsibilities include: (1) Conducting research using cultural-psychological and/or critical race theoretical perspectives in collaboration with
-
analysis tools Experience in machining learning methods in omics analysis Experience with high-performance computing and cloud-based analysis platform Previous experience in grant writing and manuscript
-
: Engineering / Biomedical Appl Deadline: none (posted 2025/03/04) Position Description: Apply Position Description The lab of Nimmi Ramanujam, PhD has an immediate position for a postdoctoral research
-
novel statistical methods motivated by medical research needs Solid background in causal inference and survival analysis Experience with clinical trial research, machine learning, and high-dimensional