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, immune cells, and cancer cells. Using cutting-edge biosensors and microfluidics, the researcher will delve into understanding cellular forces during critical processes such as cell adhesion, platelet
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of biosensors into microsurgical training, developing a robust framework for data collection, and advancing performance analytics. Together, we shift how we train, observe, and understand microsurgical expertise
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regenerative medicine, human performance, biofunctional materials, medical devices and biosensors, neural engineering, and synthetic biology. The Department of Bioengineering is housed in the Knight Campus
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Assistant/Associate Professor - AI-Driven Biomolecular Design, Biotechnology, and Computational Biol
initiative will help advance Purdue’s One Health initiative (https://www.purdue.edu/onehealth/ ) which seeks to tackle complex challenges with real-world impact at the intersection of human, animal, plant, and
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for validation. The electronic manipulation and measurement devices being developed in this project include, among others, dielectrophoresis devices, electromechanical actuators, and biosensors. For further
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infrastructure for ongoing research in therapeutic discovery, biosensor development for biomanufacturing, translational pharmacology, biomarker development and pharmacokinetics research. In addition to providing
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research space provides infrastructure for ongoing research in therapeutic discovery, biosensor development for biomanufacturing, translational pharmacology, biomarker development and pharmacokinetics
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experience in the development of biosensors, preferably applied to the biomedical field, ranging from the design and optimization of sensory platforms to validation in relevant healthcare contexts. 5
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
neural engineering, biosensors, biomedical signal processing, machine learning, and image analysis, multi-scale modeling, translational computation. Outstanding candidates at the interface of computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
, biosensors, biomedical signal processing, machine learning, and image analysis, multi-scale modeling, translational computation. Outstanding candidates at the interface of computational biomedical engineering