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Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for thePhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method
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the fields of sleep science, neuroscience and machine learning at the University of Nicosia Medical School. Project Description: Code and Title of research project: ‘PHD-2023-3: Development of a Machine
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School and will work under the Supervision of Dr Nicoletta Nicolaou ([email protected] ), with expertise in the fields of Biomedical Signal Processing and Machine Learning. Project Description: Title
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the head professor of the Chair. NECESSARY QUALIFICATIONS •Candidates must have a PhD in one of the following or related fields: Landscape archaeology, geosciences (e.g. topography, geology, environment, etc
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science » Programming Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Country Cyprus Application Deadline 21 Jun 2024 - 17:00 (Asia/Nicosia) Type of Contract
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including e.g. bus routing or energy networks, large-scale machine learning, and cybersecurity aligning with the missions of the Institute within the context of the Resilience Plan of the government. CyI
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/stimotheou/ ), and will enrol in either the Electrical Engineering or the Computer Engineering PhD program of the Department of Electrical and Computer Engineering (ECE) at the University of Cyprus, the top
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Research FieldTechnology » OtherEducation LevelUndergraduate Skills/Qualifications Qualifications: Hold a PhD, MSc, or BSc in Machine Learning, Computer Science, or a related discipline. Familiarity with
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interdisciplinary research team at the Computation-based Science and Technology Research Centre (CaSToRC). The successful candidate will pursue Research & Development (R&D) in the areas of Machine Learning (ML) and
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analysis and/or machine learning frameworks such as R or PyTorch. Experience with processing large and noisy datasets. At least 3-years of relevant experience (including PhD research). Ability to present