Sort by
Refine Your Search
-
for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
-
the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background (e.g. ecological theory
-
data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
-
the global health scenario and domestically for dissemination, and plenty of opportunities for career advancement. •Learn background/research methods of studies for which analysis is conducted with limited
-
support in organizing mathematical biology seminars and activities at Duke Math. The postdoctoral associate will teach one course per semester in the Department of Mathematics. Qualifications
-
collaboratively, and a compelling explanation of how humanistic methods will be used in the completion of the year-long project. Candidates are expected to hold a PhD in a humanistic field at the time of
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
-
residence, to conduct research in Duke's library and archival collections, to participate actively in the intellectual life of the university, to teach up to 2 courses per year, and to give a public lecture
-
biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in
-
biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . Conduct independent research activities under the guidance of a faculty mentor in