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to scale up the eMotional Cities initiative. This will require familiarity with interdisciplinary collaboration, research design, and proposal development. Candidates should have a PhD (submitted or nearly
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the professions. This role is an excellent opportunity for a qualitative researcher who wants to make their mark as an applied health methodologist. Criteria: A good degree and a PhD in relevant health
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organization, safety, and equipment maintenance. Job Requirements: PhD in Chemistry, Materials Science, Chemical Engineering, or a related field Research experience in heterogeneous catalysis, with knowledge in
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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of the following: A two-page CV, including the dates on which you had your PhD viva and on which you were awarded the PhD. A list of publications (not exceeding one side) NB: DORA principles should be considered
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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for collaborative trials and your own statistical methods research with support from senior colleagues. What we are looking for: You will have a PhD or equivalent experience in statistics, medical statistics, or a
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per annum, depending on experience. Kā tino Pūkeka/Whēako | Essential skills/experience for the role You will have: A PhD in plant molecular biology or a closely related field Proven experience in
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of advancing algorithmic foundations in robotics. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Participate/assist in manuscript writing for publication in scientific