Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
-
learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
-
the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
-
). Experience with human biomonitoring data or epidemiological cohort data (e.g. birth cohort studies). Familiarity with indoor air quality sensor data and/or suspect/non-target chemical screening datasets
-
the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
-
the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
-
About the Role Applications are invited for a full-time Postdoctoral Research Associate to work on an EPSRC funded project developing wearable ultrasound sensors. This post will be hosted in
-
: collaborate with leading academic and industrial partners; work with state-of-the-art agricultural robots, advanced sensors, and AI systems; have access to industrial-scale glasshouse facilities and research
-
– specifically focusing on “360 cameras” as the main sensor modality. The works will develop multi-session visual SLAM pipelines and feed-forward reconstruction (e.g. VGGT, MapAnything) to project rich 3D
-
nanowire acts as a non-linear capacitor which can be used in qubits, sensors, amplifiers and many other applications. In addition to this experimental work we also have a substantial theoretical/numerical