35 image-processing-"Embry-Riddle-Aeronautical-University" Postdoctoral positions at Texas A&M University
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python
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travel. Please note: This position is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload
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rhythms using Drosophila as a model system. This research will involve biochemical assays, cell imaging, genomics, and computational approaches to define how conformational changes in CLOCK and PERIOD
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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technologies for structural, environmental, and infrastructure applications. The position supports research projects, prototype development, lab experiments, data analysis, and manuscript preparation
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assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience Appropriate PhD in a related field. Knowledge, Skills, and Abilities
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Medicine and is primarily a patch clamp electrophysiology, calcium imaging, and immunohistochemistry lab. Who we are As one of the fastest-growing academic health centers in the nation, Texas A&M Health
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structural biology will be well-suited for this role. You’ll apply your specialized skills using advanced genetic mouse models and techniques like confocal imaging, brain-slice electrophysiology, in vivo
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review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment by promoting
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analysis and biogeochemistry. Demonstrated ability to solve complex differential equations, essential for modeling fluid dynamics and geochemical processes in river-lake systems. Extensive knowledge of river