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] Lennelongue L, Grealey J, Inouya M, “Green Algorithms: Quantifying the Carbon Footprint of Computation”, Advanced Science (2021), DOI: 10.1002/ADVS.202100707 [7] Mehtälä June, Harri, “Green in software
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) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for
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: Calling individuals with a passion for discovery, whether in computational neuroscience, computer science, medical science, mathematics, biology, chemistry, physics, engineering, or related fields
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aims to develop and apply data science methods and biologically plausible recurrent neural network models to understand decision-making and related cognition, as emergent computations. As machine
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) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for
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of Brain-Computer Interface (BCI) technology as a support system to improve group decision-making. Such systems combine inputs from multiple users to improve the overall decision quality. However, these
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, and will interact closely with various leading international collaborators. The student will gain valuable knowledge in data mining and machine learning techniques, high-performance computing
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Patterson, Ian Cleland, and Chris Nugent. "Dynamic detection of window starting positions and its implementation within an activity recognition framework." Journal of biomedical informatics 62 (2016): 171-180
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has developed extensively in the last few decades taking advantages from developments in chemistry, physics, sensing technology, data processing and analytics, artificial intelligence and IoT [1,3-4
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-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D. and Amantea, I.A., 2022. Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics, 127, p.103994. L Yang