12 analog-and-integrated-circuits Postdoctoral research jobs at University of Florida
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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circuit mechanisms underlying addiction and neurodegenerative disease and using multi-level approaches that include fiber photometry, patch-clamp electrophysiology, optogenetics and chemogenetics, spatial
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healthy and tumor-bearing animals using machine learning and AI approaches; and (3) integration of PBPK and QSAR models with AI methods to develop AI-assisted computational approaches to support decision
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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 enable downstream APIs and feature services Develop ETL workflows for cross-domain spatial data integration using staged refinement (e.g. Medallion Architecture) Engage with UF faculty leading FLDT
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start on or near November 1, 2025. The lab broadly seeks to understand how genes relate to phenotype in the context of visual system evolution. The lab is multidisciplinary and integrative, with genomics
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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of these proteins in physiological and disease contexts. Our lab integrates chemical proteomic technologies—such as activity-based protein profiling (ABPP)—with functional genomic technologies like CRISPR screening
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Yang in the Department of Geography at the University of Florida to begin in July 2025. This cutting-edge research integrates historical satellite imagery, modern LiDAR data, and citizen science to
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL