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Field
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for health monitoring applications. The successful candidate will focus on the design, development, and integration of innovative sensors, actuators, and flexible electronic circuits tailored for wearable
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Our research project focuses on developing nondestructive sensors for measurement
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. Currently, SAIL is conducting multiple projects ranging from Hybrid Aerial Underwater Robotic System (HAUCS)– a cyber physical system (CPS) for aquaculture, to sensors and platforms for maritime applications
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knowledge of electrochemical biosensor development to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site
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) [Appointment period: each for six to eighteen months] Duties The appointees will assist the project leader in the research project - “Two-dimensional heterostructures for intelligent vision sensor
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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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2028 Background We are seeking a highly motivated Research Fellow to drive the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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of critical infrastructure. In particular, the successful candidates will develop new sensor systems, customised for monitoring a network of civil infrastructure, specifically, bridges. About the person
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experience in Acoustics, Mechanical Engineering, Physics, Signal Processing or a closely related discipline. Strong practical experience in experimental acoustics/instrumentation (sensor selection, data