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training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a
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% - Ultrasound Data Collection and Data Analysis 30%-Conference Abstract and Manuscript Preparation Required Qualifications* PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or related
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regional participants technical laboratory (wet lab) and bioinformatics (dry lab) training in pathogen genomics. The Emerging Infectious Diseases (“EID”) is a Signature Research Programme of Duke-NUS
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infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in
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Newcastle Airport. The School has an extensive network of leading international partner institutions and close ties with the City of London and the Inns of Court. It counts among its alumni two Supreme Court
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computing facilities. • A stimulating research environment with strong support for professional and academic development. • A strong support system available for PhD candidates, including access to wide
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related and pain research. Research experience within a relevant
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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people-centric predictive digital technologies to improve disaster and climate resilience) project aims to develop and implement an end-to-end people-centred computational framework (and accompanying