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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. A PhD (or be close to completion
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such as law, social sciences, criminology, politics, geography, journalism or history; PhD (awarded or submitted). This 0.8fte fixed term post is available for a two-year period until 30 September 2028
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activities beyond the project duration. ESSENTIAL REQUIREMENTS: Holder of PhD title (food science, food technology, biotechnology or similar fields) or its equivalent for at least 4 years Fluency in written
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deployment Collaborate with interdisciplinary partners and optionally contribute to teaching and supervision Your profile: PhD or strong Master’s degree in computer science, data science, software engineering
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undergraduates with what they need to know in order to conceive, design, and execute research at the intersection of technology, the arts, and the humanities. Letter of degree conferral if PhD not yet completed
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related discipline. A PhD in one of these fields and proven experience in programming for data analysis are required. Previous experience in neurophysiological data analysis (scalp EEG, intracranial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
of information to support work across multiple fields of study. Position Summary The Winston Center on Technology and Brain Development is seeking two post-doctoral researchers to assist with research related
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded or near completion* in
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analyzing experiments and presentation of results. Required Education: PhD in Materials Science and Engineering Desired Education: PhD in Materials Science and Engineering Required Experience: Extensive
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Academy of Engineering Green Future Fellowship, the postholder will design and integrate automated experimental workflows and data pipelines to accelerate the discovery and optimisation of OPV devices