24 digital-image-processing Postdoctoral positions at University of Florida in United-States
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: Initiate and maintain cell cultures Prepare and maintain biological stocks Maintain proper lab and experimental records, both digital and hard copy Test, optimize, troubleshoot new and existing methods and
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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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. Conceptualize and implement digital twin systems for packaging and supply chain decision-making. Integrate optimization, AI, and machine learning methods into models of logistics and lifecycle sustainability
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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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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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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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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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. 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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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
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paradigm of microbial NP discovery, providing unprecedented insights into the unexplored microbial taxa and ecological niches, and revealing the vast diversity of NP biosynthetic gene clusters (BGCs