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Field
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-latency operation, and improved robustness under photon-limited conditions. Develop hardware-software co-design for intelligent sensing, including implementation and evaluation of real-time or near-sensor
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knowledge of adaptive optics systems, including wavefront sensors, deformable mirrors, and real-time wavefront correction algorithms. Familiarity with optical systems, particularly in high-resolution contexts
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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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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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About the job: This Research Fellow post will contribute to the EPSRC-SFI project “Quantum control for robust ultracold atomic sensors (Croutons)”. The role will focus on research in the control
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sensors. Additionally, you will contribute to the organisation of user studies and workshops, for co-designing and evaluating this technology with diverse participants, including disabled musicians. You
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). 5. Develop sensor fusion and navigation (e.g., IMU, vision, GNSS/DVL/encoders), with fault robustness 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Multi-platform reference architecture
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instrumentation, sensors, and custom-built research tools • Develop robust and reproducible methodologies for automated synthesis, formulation, and characterization workflows, including meticulous documentation
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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-atmosphere fluxes of carbon, water, and energy in arctic environments. Observations from eddy flux towers, drones carrying meteorological sensors and gas analyzers, soil sensors, and satellite imagery