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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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to analyze large-scale clinical datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics
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. The ideal candidate should have a strong background in one or more of the following: developmental biology, genetics, molecular techniques, bioinformatics/genomics, electrophysiology, calcium imaging
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human
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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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Classification Title: Postdoctoral Associate Job Description: The Laboratories of Drs. Ramon Sun and Craig Vander Kooi are seeking a talented postdoctoral fellow to work on molecular imaging
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coordinators for these areas. The CWC training program adheres to the American Psychological Association’s profession-wide competencies along with the mental health code of ethics and state laws and rules. We
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transcriptomics, and 3D imaging. We are interested in the role of serotonin systems in the pathogenesis of Alzheimer’s disease and the intersection between AD and neuropsychiatric disorders. Highly enthusiastic and
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field of view (24 Megapixels – 5,760 x 4,092) and faster (3.75 times that of K2 camera). The direct detection devices are exquisitely sensitive, produce high signal to noise images, and are ideal for high