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strengths in biosensors, bioelectronics, medical devices, and artificial intelligence. A Ph.D. in Biomedical Engineering, Bioengineering, or a closely related field is required. Candidates should also
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to develop a rapid, highly sensitive test for early-stage bladder cancer. The multidisciplinary project involves developing methods to increase the specificity of an optical biosensor to detect bladder
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flow cytometry or fluorescence microscopy instrumentation. Exposure to cell signaling pathways or genetically encoded biosensors. Familiarity with Python or R for basic scientific data analysis. Some
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and those with expertise in one or more of the following areas: MEMS/NEMS, optical sensors, chemical sensors, biosensors, IoT sensors, or other emerging sensing technologies are particularly invited
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, e.g. bioengineering, chemistry, biomedical engineering, analytical chemistry. A research-oriented attitude. Experimental and analytical skills, with interests in biomolecular engineering, biosensors
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delivery, biosensors and instrumentation, neurobiology, biomedical engineering, and related fields Possess the technical expertise and prior accomplishments necessary to make Missouri S&T a global leader in
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molecule tracking and force spectroscopy, micro/nanofluidics, electron microscopy, scanning probe microscopy, biosensors and bioelectronics, biomedical devices, bioengineering lab automation. Thematic links
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, biosensor/microfluidic data, imaging data, physiological signals, or multimodal data integration is highly advantageous. - Experience translating ML models into usable software prototypes, such as REST APIs
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-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
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-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein