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Position Details Position Information Recruitment/Posting Title PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science Department Quantitative Biomedicine Inst Salary
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development of advanced sensor systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The
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Electrical and Computer Engineering seeks highly motivated candidates for a Postdoctoral Associate position in the area of Integrated Sensing and Communications ( ISAC ). Responsibilities: Conduct cutting
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-animal surgery, multichannel electrophysiology, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of
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theoretical chemistry, machine learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in
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) Comparative Morphology and Machine Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb
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) Comparative Morphology and Machine Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb
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, Movebank), remote sensing data, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global
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). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; High-density electromyography, MU Edit, DEMUSE ; Electroencephalography; Transcutaneous Electrical Nerve Stimulation and similar
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record of peer-reviewed publications Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote