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Field
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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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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
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). Develop electronic and hardware control systems for laboratory instrumentation, including sensors, actuators, microfluidic devices, and automation components. Integrate experimental hardware with software
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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, physiological, and environmental sensors. Assess human performance capacities using multidomain outcome measures. Analyse and interpret quantitative and qualitative data to generate actionable insights. Develop
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 18 days ago
. Interoperable medical devices being investigated may include wearable sensors (e.g., photoplethysmography for pulse oximetry and blood pressure measurements, inertial measurement units for gait and movement
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intensity ratios. This research project will explore several novel and high-risk techniques for realizing a primary temperature sensor in a compact package. This will require operating an locking multiple
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL