62 engineering-image-processing-phd "https:" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
-
neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
-
across the Duke research community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal
-
to expand their scientific expertise while contributing to meaningful discoveries in vision science. What You’ll Bring Required Qualifications PhD or MD/PhD in a relevant scientific discipline. Strong
-
will possess a PhD or equivalent doctoral degree in an engineering or physical science discipline with some research experience related to critical minerals. They must be able to communicate
-
. Postdoctoral Associate – Translational Microbiome and Critical Care Research The Duke Anesthesiology Microbiome Profiling (AMP) Laboratory (https://anesthesiology.duke.edu/research/serbanescu-lab) under Dr
-
, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
-
cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning
-
infectiousness, treatment and prevention interventions, and realistic behavioral processes to evaluate strategies for reducing HIV transmission. The Postdoctoral Associate will train under the primary mentorship
-
dyads, families, and service interactions across systems. Support data acquisition, integration, validation, quality assessment, governance, reporting, monitoring, and stewardship processes. 2. Lead the