-
, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
-
-line computing High-performance computing environments Candidates with strong computational backgrounds who are interested in developing wet-lab expertise are strongly encouraged to apply. Career
-
image analysis, machine learning or deep learning, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or
-
novel immunotherapies. The Williams lab has state-of-the-art equipment for single cell omics assays and support for computing power for data analyses. Here at DHVI, we value collaborations, and pride
-
, artificial intelligence, and data-driven discovery. Learn more about the iMIND Study Team: https://dukeeyecenter.duke.edu/imind Be Bold. Join a multidisciplinary research team at the forefront of
-
through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo. Demonstrated proficiency through previous systematic reviews (and meta
-
. Experience working with hardware-software integration and custom instrumentation. Knowledge of research computing, image processing, and data analysis methodologies. Choose Duke. At Duke, you'll
-
Stem Cell , 2026). Learn more about our interests, motivations and discoveries: https://sites.duke.edu/silverlab/ . We are especially interested in candidates excited to contribute to a new NIH program
-
Profiling (AMP) Laboratory ( https://anesthesiology.duke.edu/research/serbanescu-lab) under Dr. Mara Serbanescu in the Department of Anesthesiology at Duke University School of Medicine is seeking a full
-
. Duke University is in Durham within the Research Triangle, an affordable, vibrant and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications