31 parallel-programming "Intelligent Systems Group" Postdoctoral positions at Duke University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, 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
-
-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python Command
-
affiliations. Be You. The Department of Surgery at Duke University is seeking a qualified Postdoctoral Associate. This postdoctoral research position focuses on applying AI, agentic systems, and software
-
position in mathematical modeling, as part of a new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of
-
mechanisms of motor learning and long-term motor memory. In this role, you will work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how
-
mechanisms of motor learning and long-term motor memory. In this role, you will work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how
-
collaborative research environment. Strong organizational skills, scientific rigor, and commitment to reproducible research Patient-derived organoid culture or other advanced 3D cell culture systems
-
Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python
-
interpret multimodal research data. Utilize programming and data analysis tools such as MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods
-
to research the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models