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vivo two-photon imaging of neural activity dynamics, imaging of neuromodulator releases, optogenetics, computational modeling of complex animal behaviors and neural dynamics, and network simulations
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-generation imaging technologies to map the molecular and structural architecture of the brain with nanoscale precision. We integrate Expansion Microscopy (ExM) with neurobiology to uncover mechanisms
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and scripting • Experience with medical image (MRI, DWI, CT) processing using open-source programs such as Seg3d, Slicer, ANTS, or similar • Experience DSI Studio, MRTrix, or similar • Experience with
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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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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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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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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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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