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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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on the development and field testing of advanced microfluidic sensor systems for nutrient monitoring in environmental and aquaculture settings. Working under the supervision of the project lead and with other project
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We are seeking to appoint a talented Bioinformatician to join a team at a pivotal time where you will be developing a predictive algorithm for immunogenicity based off of biological mechanisms. In
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drugs at the target site, using only an internal battery and on-board sensors for fully autonomous operation. The overarching goal is to develop a battery-powered ingestible capsule that autonomously
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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acquired experimental data. These calculations, complemented with chemoinformatic studies, will be used to subsequently develop machine learning algorithms to predict these properties and ultimately estimate
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. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS
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-based cameras (e.g. DVXplorer), and tactile/force sensors. 3. Strong background in computer vision and deep learning, with practical implementation experience. 4. Proficiency in programming with
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pharmacology to deliver key mechanistic and therapeutic insights. The postholder will employ optical tweezers combined with fluorescence imaging to directly visualise nucleic acid sensor interactions with DNA
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Lecturer to join our dynamic school and help drive innovation in Electronics, Artificial Intelligence, Sensors, and Autonomous Systems. This is an exciting opportunity to inspire the next generation of