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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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Description Applicants will be involved in NIH-sponsored research to address the impact of surgical trauma (orthopedic surgery) on the blood-brain barrier, glia activation, and neurodegeneration. Different
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of sample processing and method development with multiple contract research organizations relating to toxicity, ADA and sample storage/labelling/stability studies will also be key responsibilities
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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metabolomics. • Manage and process human biospecimens and/or murine samples, in coordination with lab staff. • Perform work with animal models. • Maintain documentation of protocols and ensure reproducibility in
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely
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examine how withdrawal changes the brain’s processing of painful stimuli in people with and without chronic pain, as well as its impact on their ability to abstain from smoking. The postdoctoral researcher
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. The research aims to: 1) Delineate the chemical speciation and mineral phases associations of these critical metals in AMD wastes; and 2) Evaluate the implications of these associations for extraction processes
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. Occupational Summary The Duke Neuroradiology Division specializes in CT fluoroscopy guided spine intervention procedures to treat pain as well as the diagnostic workup and treatment of patients with CSF leaks
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, excellent communication, data processing, organizational, written and oral presentation, and problem-solving skills. Experience in animal handling and/or high throughput sequencing analysis is strongly