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
-
renewal. The Fellow will be expected to be in 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
-
computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
-
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
-
Carolina 27705, United States of America [map ] Subject Areas: History / History , Oral History Art Education Teaching and Learning History of Art / History of Art Social Movements Appl Deadline: 2026/03
-
) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and
-
screens in both cancer and aging settings with CODEX multiplexed imaging. Required Qualifications at this Level Education/Training PhD Experience See job description for requirements. Skills See job
-
data. Prepare results for presentations, reports, and publications. Maintain all required training and certifications. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing
-
of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
-
. Applicants with previous experience teaching anatomy at some level will be favored. This position requires a PhD. Appointment may be renewed annually based on performance and funding availability for up