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, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging, or coding is preferred, but we are also
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and spontaneous intracranial hypotension (SIH). Duke is an internationally recognized clinical and academic center of excellence for imaging guided spine intervention and has been highly productive in
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, biostatistics, computational biology, applied mathematics, computer science, or a related quantitative field. Strong coding skills in R, Python, or similar, plus experience analysing infectious-disease data
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| Radiology Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for women’s imaging. The ideal candidate
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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to independently design and generate simulations using the Regional Oceanic Modeling System (ROMS) or other related codes (e.g., COAWST, CROCO, MITgcm, Oceananigans) in realistic and/or idealized configurations
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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Postdoctoral Research Associate to functionally characterize the role of circular RNAs (circRNAs) in Alzheimer’s disease (AD). CircRNA is a new category of non-coding RNAs that result from backsplicing events
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decision-making, with a focus on dopamine neural coding and its dysfunction. Please see: Amo et al., Neuron, 2024 (https://www.cell.com/neuron/fulltext/S0896-6273(23)00979-0 ) Amo et al., Nature Neuroscience