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Field
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patch. Allergic contact dermatitis (ACD) to components of glucose-monitoring sensors and insulin pumps is increasingly problematic as disease management becomes dependent on wearable technologies. The
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optical multi-pass cell (around the PA cavity) to increase signal levels. The PARS sensor will be developed and tested for real-world outdoor usage with an eye to developing a commercial product. We seek
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources for end-to-end
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, and facilitate sensor optimization to achieve a robust and dependable condition monitoring, predictive maintenance, and prognostics and health management (PHM) regime for the aircraft systems over
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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in tropical or intertidal environments. Proficiency in environmental sample handling and analysis (e.g., greenhouse gas monitoring, biogeochemical sensors, hydrological tracers, or carbon flux
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software