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Field
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using learning algorithms as Extreme Learning Machine (ELM) is that training data should cover the entire domain of process parameters to achieve accurate generalization of the trained model to new
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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-care For informal enquiries about this job contact Stephen Bradley, Senior Lecturer: on stephen.bradley @sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process
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from polymers of intrinsic microporosity (PIMs). By replacing conventional polymeric membranes and adopting dry-processed electrodes, this work has the potential to double energy density, reaching up
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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this project you will use interlocked architectures (catenane/rotaxane) to promote unusual mechanochemical transformations and processes. You will investigate their activation both in solution, using ultrasounds
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having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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knowledge of laser diagnostics for flames, experience with combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment