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Field
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act on the human body and communication behavior — for example, voice-controlled assistive technology, mobile health, virtual reality, socially assistive robotics, wearable biosensors, or digital twins
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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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, rehabilitation, and healthcare delivery. • Pursue research in areas such as medical devices, diagnostics, biosensors, wearables, therapeutics, biotechnology-enabled innovations, digital health, artificial
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in areas such as medical devices, diagnostics, biosensors, wearables, therapeutics, biotechnology-enabled innovations, digital health, artificial intelligence, data science, and other engineering and
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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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XD, Hotjar) and advanced statistical software (SPSS, R, Python). Experience with advanced biosensors such as EEG or facial expression coding (Affectiva/FACET). Prior teaching experience
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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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(fabrication technology, nanofabrication) and applications (neural implants and biomedical technologies, biosensors, flexible electronics). Main Tasks and responsibilities: The candidate will be working in
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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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