98 engineering-computation "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" research jobs at Duke University
Sort by
Refine Your Search
-
, United States of America [map ] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/03/10 04:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position
-
Quinn Ostrom (Assistant Professor of Neurosurgery and Population Health Sciences) and Anoop Patel (Associate Professor of Neurosurgery, Biomedical Engineering, and Pathology. The Ostrom lab is focused
-
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
-
induced by radiation, focusing on mechanisms of regenerative reprogramming and stromal-epithelial interactions. Complementary approaches will be used, including genetically engineered mouse models
-
. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology, genomics, computer
-
healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
-
multiple affiliations. Be You. Duke School of Medicine’s interdisciplinary Duke Molecular Physiology Institute (DMPI), is seeking a highly motivated Postdoctoral Fellow with a PhD in computational biology
-
. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
-
the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
-
addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D