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PhD position available at Ludwig Maximilians University Hospital Munich, Germany (ENDOTRAIN) (DC5) PhD position:Wearables & Biosensors- Primary Aldosteronism -Out-of-Hospital Diagnosis & Monitoring
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Details Title Postdoctoral Fellow – Electrochemical Biosensor Development School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss
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areas of nanoscience and nanotechnology. Job title: Research Assistant - Nanobioelectronics and Biosensors (2 vacancies) Research area or group: Nanobioelectronics and Biosensors Group Description
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Details Title Postdoctoral Fellow – Electrochemical Biosensor Development - Immediate Need: Start ASAP School Wyss Institute for Biologically Inspired Engineering Department/Area Position
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motivated Ph.D. candidate for a project focused on the development and validation of implantable electrochemical biosensors for the real-time detection of pharmacological targets within the body. Project
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the technological pivot of the team, tasked with overcoming hurdles related to integrating plasmonic biosensors within microfluidic chips. A. Microfluidic Development & Prototyping (70%) • Design and fabricate
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | about 1 month ago
diagnosis, and improve therapeutic monitoring. This PhD project is fully aligned with this perspective and proposes an innovative approach based on the development of miniaturized biosensors capable
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Engineering. Enterprise Ireland Commercialisation Fund – Microorganism Based Biosensor Platform Project The lack of cost-effective, real-time monitoring and control systems means that bioprocesses which include
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Commercialisation Fund – Microorganism Based Biosensor Platform Project The lack of cost-effective, real-time monitoring and control systems means that bioprocesses which include Anaerobic Digestion (AD), brewing
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, which focuses on rapid diagnostics in sepsis using biosensors. The projects in the Polsterlab will center on detecting biosignatures in blood with the help of advanced deep learning methods. A special