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Field
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. Specifically, you will be investigating how the earliest electrical activity of the heart contributes to the development of its size, shape, and specialized cell types. You will use cutting-edge biosensors and
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) genetically encoded voltage indicators (GEVIs), fluorescent biosensors that report voltage as changes in brightness, and (2) optogenetic silencers, light-gated channels that inhibit neuronal firing
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
the biosensing technology using multifunctional nanomaterials and developing nano-liquid biopsy for cancer diagnostics and personalised medicine. The successful candidate will report to Professor Yuling Wang, and
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Job Description Apply now Req Id: 39238 Job Title: Assistant / Associate Professor of Advanced Chemistry, Science and Engineering City: West Lafayette Job Description: Tenure-Track/Tenured Faculty
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Apply and key information This project is funded by: Summary Multiple PhD studentships available within tech4health, an EPSRC Centre for Doctoral Training in Digital Health Technologies
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At Chalmers University of Technology, research in the field of nanoscience and nanotechnology is carried out in a broad range of activities. Chalmers' researchers conduct basic research
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for Electronics and Microtechnology(CSEM), are searching for a PhD student to develop CRISPR–Cas-based electrochemical biosensors for multidrug resistant Mycobacterium tuberculosis (MDR-MTB). This work is funded as
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gain fundamentally new insights into GPCR physiology using state-of-the-art technologies that shift focus from time-averaged, ensemble investigations towards understanding the properties and functions
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, nanomedicine, cardiovascular engineering, biomaterials, organ-on-a-chip, wearable biosensors, and biomechanics. The BME Department is the home of the Center of Biomanufacturing for Regenerative Medicine (CBRM
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diseases by developing molecular tools and biosensor technologies that detect bacterial pathogens and antimicrobial resistance directly from patient samples. This work seeks to accelerate the identification