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of questions, data, and analytic methods involved (1 page) a CV official documentation of a PhD degree or its equivalent a full list of publications two writing samples, at least one of which should be published
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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collaborate closely with internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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The candidate will be part of the MUNI-RISK and MMinE-SwEEPER consortia that will advance scientific understanding on risks of munition in the marine environment and develop methods for risk prioritizing and
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of fracture can directly inspire the design of new architected and disordered materials with enhanced toughness and reliability. Your profile Applicants should hold a PhD in mechanics of materials, physics