25 parallel-computing-numerical-methods ";" Postdoctoral positions at Duke University
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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
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, 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
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science methods into starting and ongoing projects Assist CHeRI PIs with implementation science resources and deliverables. Learn background/research methods of studies for which analysis is
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: Functional genomics and pooled screening technologies CRISPR knockout, CRISPRa/i, or base-editing platforms NGS library preparation and sequencing methods, including: ATAC-seq CUT&RUN CUT&Tag RNA-seq Hi
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research environments. Improve workflow efficiency and computational performance across research computing platforms. Regulatory Compliance & Data Security Support compliance with institutional policies
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eager to apply advanced epidemiologic and biostatistical methods to complex, multi-level data. The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with
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outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high
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Dawson and Dr. Guillermo Sapiro . Your work will help create objective, reliable, and scalable methods for measuring behaviors that support communication, learning, social engagement, and developmental
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. 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
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, Quantitative Social Science, or a closely related field. Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities