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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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will have: A PhD* or equivalent qualification / experience in Electrical/Electronic Engineering, Signal Processing, or a closely related field. Proven experience in radar systems, radar signal processing
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for the project area and a strong interest in working as part of a collaborative and cross-disciplinary team are required. You will have completed a PhD, or have equivalent professional qualifications and
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You will have: a PhD or equivalent professional qualifications and experience in Archaeology or a related discipline; detailed understanding and knowledge of Palaeolithic Archaeology and/or
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for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful
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completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant
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considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
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PhD in a science-based field. The post holder will lead the Early Diagnosis and Translational Team, setting quality standards and creating an environment that engages and motivates others
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interpretation of data Simple process simulation and modelling General lab organization and coordination Assist supervising PhD, Master and undergraduate project students Data collation, presentation and reporting
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of aerospace and aeronautics, covering the entire spectrum of fidelity levels. The candidate should have or be close to completing a PhD in aerospace engineering (or equivalent qualification and experience