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architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in Computer Science, Natural Language Processing (NLP), or a
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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to accelerate innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies
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innovation across semiconductor technologies, novel microchip designs and system architectures – leading to faster, cheaper, greener and overall, more power-efficient electronics. As one of nine UKRI funded AI
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Edinburgh Napier University is the number one Scottish Modern University for research in Computer Science & Informatics, Engineering and for Architecture, Built Environment and Planning, as per
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong