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), or for application process queries Ruikang Xue (ruikang.xue@ucl.ac.uk). About you The successful candidate will have a PhD qualification, extensive knowledge and expertise in additive manufacturing, surface and bulk
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broader mixed-methods evaluation framework • Support capacity-building efforts for local field teams and partners in evaluation design and data collection Requirements • Master’s degree or PhD in Public
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external partners; and contribute through presentations, publications, and strategic activities. REQUIRED: PhD, MD, or equivalent by December 31, 2025; strong interest in interdisciplinary health/life
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. • Assist in supervising graduate students where applicable. • Contribute to knowledge dissemination through conferences, workshops, and seminars. Qualifications • A doctoral certificate (PhD or
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provide guidance to MSc and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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significant practical experience in EMI shielding, Mxene and wood composites research. The candidate will have a PhD in Physics, Chemistry, Materials Science or a related discipline, or equivalent experience