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expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 130 PhD students
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of the following topics: organic and/or macromolecular synthesis (not engineering), surface chemistry, biosensor design. She/he should have experience with several of the following analytical methods: NMR, UV-Vis
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and apply cutting-edge technologies including electrophysiology, single-cell RNAseq, chromatin conformation capture technique, optogenetics, genetic encoded biosensors of neurotransmission, and live
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). The candidate will support the Team in the development of paper-based electrochemical biosensors for malaria point-of-care diagnosis until end December 2025. Main responsibilities and duties: Our Research Group
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to multitask and work cooperatively with others. Preferred Knowledge, Abilities and Skills Experience using biosensors, including eye tracking, EEG, facial expressions to assess emotions, galvanic skin response
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. - Ability to multi-task and work cooperatively with others. Preferred Special Knowledge, Skills, and Abilities: - Expertise in biosensors or protein design - Familiarity with genetic model organisms and
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Engineering, or a related field. Experience & Expertise: Sensor Development & Characterization: Ability to develop and assess biosensors in multimodal conditions. Simulation & Numerical Modeling: Experience
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electrochemical measurements (e.g. CV, SWV, CA) and have a strong track record in prototyping and conceptualising biosensor devices. Experience with testing and comparing different electrode materials, as
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fluorescent imaging microscopy in liver tissue and live hepatic cells using chemical and genetic biosensors. Minimum Education and Experience: Ph.D. in related field. City: Newark State: NJ Salary: $63968
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and immune cells following traumatic brain injury and in neurodegeneration using genetically-encoded biosensors and optogenetic tools. The desired applicant will have experience in microscopy, with