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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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required. You would work with academic staff, researchers and visitors as well as contributing to training of PhD students. About you PhD qualification in Geoscience. Demonstrated expertise in trace element
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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to work on Liaise with co-I from NetaTech and Tohoku University to apply the in-house developed light conversion film on the architectural design and system used for the UmFm. Taking care of the day to day
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collaboratively, and who values contributing to a supportive team environment. You will also help train and support researchers and PhD students in this role, so strong communication and mentoring skills will be a
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required. You would work with academic staff, researchers and visitors as well as contributing to training of PhD students. About you PhD qualification in Geoscience. Demonstrated expertise in trace element
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better preserve the cultural memory of these struggles. To be successful in this role, you should have: A PhD (or an equivalent level of professional experience) in an area of history, theory or practice
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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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Salary: Grade 7 (£39,105 – £46,485 p.a. depending on experience) School of Earth and Environment, Faculty of Environment Are you an ambitious researcher looking to develop your skills
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managing multiple studies within a collaborative research environment. You’ll also support the preparation of competitive grant applications and present findings through publications and conferences