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Field
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quantitative data analysis and statistics relevant to neuroscientific methods, utilizing programs such as Matlab, Python, R, etc. You have experience with experimental psychology and designing experiments using
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The BrainSignatures Lab (BSL) in its current form is a proteomics lab dedicated to finding biofluid signatures of Alzheimer's disease and other dementias. We follow multiple longitudinal cohorts
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to a global scale, targeting multiple oceanic bioprovinces to robustly quantify the alkalinization-attributable signal against natural carbon cycle fluctuations. The postdoctoral researcher will be
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Preferred selection criteria Experience with programming or scripting (e.g., Python, R, SQL) for spatial analysis or modelling Experience with participatory planning tools or civic technology platforms A
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analysis of multi-source datasets (e.g., mechanical, process, and imaging data). Proficiency in data science techniques, large dataset handling, and Python-based programming; Experience in the publication
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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: Experience in managing large-scale -omics data, including data storage, organization, and inventory across multiple platforms. Strong skills in record-keeping, facilitating data upload to online repositories
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks