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evaluations of AI systems across diverse cultural contexts Collaborate with computer scientists and anthropologists to develop new methods for pluralistic alignment Publish high-impact research in top venues in
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. The successful candidate will focus on molecular seed quality assessment using high-throughput metabolomics (LC MS/MS) and proteomics to support the breeding of climate-resilient crops. You will work with a
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performed using a data superposition approach to predict HEA material responses at high beam power conditions, and the results will be validated against new test data. The combined optimum testing matrix and
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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requested. Knowledge, Skills, & Abilities ABILITIES Consistently show high performance in research and teaching Ability to support various constituencies served by the University Proven proficiency with
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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) in Mechanical/Electrical Engineering or related subject, with a proven track record of publishing in high quality international academic journals and experience of working as a research student in an
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scientists to conduct research on the microbial fitness, physiology, and metabolism in advanced microbial electrosynthesis reactors as well as on the performance of phylogenetically diverse methanogenic and
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medical surveillance program . Application Materials Required: Cover Letter, Resume/CV, List of References Job Category : Faculty Primary Location : Aurora Department: U0001 -- Anschutz Med Campus or Denver
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. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing