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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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upon conceptual ideas captured within Ackerman and Thompson’s (2017) “metareasoning framework” to inform an investigation of the metacognitive monitoring and control processes underpinning complex
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available for experiments. Tracking radical species in oxidative water treatment processes Oxidative treatments are commonly used in water treatment, either for disinfection or micropollutant degradation
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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background in wireless communication systems, satellite communications, computer science, signal processing, or related fields. We expect a strong command of information-theoretic models for wireless
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Network Rail, the entity responsible for the operation and maintenance of the Great Britain's
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surgery patients Duration: 36 months Supervisor(s): Prof. Christian Stoppe / Prof. Tilman Grune Enrolment in a Doctoral Program Project description: The goal of the is project is to evaluate the feasibility
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signal processing methods and a modelling environment, aided by unique hardware-in-the loop, to assess the detection and estimation algorithm performance and determine optimal multistatic configurations
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(25%) Maintain organization of research material and lab space Support general lab operation by negotiating with vendors, placing and receiving orders of supplies and equipment Manage lab inventories
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well as amplification of genetic material by PCR. Basic data processing tools: Excel, R, Python Bioinformatics skills to process RNA-seq and ddRDASeq: demultiplexing, quality filtering, assembly, mapping; Generate de