88 assistant-professor-computer-science "https:" "https:" "https:" "https:" "Kyoto university" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
for postdoctoral associates. Inquiries should be directed to the seminar’s principal investigators: Professor Charlotte Sussman (charlotte.sussman@duke.edu) and Professor James Mulholland (mulholland@ncsu.edu
-
international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
-
its commitment to nurturing the next generation of scientific leaders. Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Duke is an Equal
-
, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/20 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
-
through excellence in education, research, and clinical practice. With more than 1,500 students, we offer a comprehensive range of programs, including the Master of Nursing (MN), Master of Science in
-
and repeat by other lab members. · Update lab members on new developments in commercial reagents and techniques. · Compile and document results, maintain lab notes, and assist in writing reports and
-
primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
-
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
-
/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis