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further develop research software, such as simulation environments, data pipelines and infrastructure, for the training and evaluation of machine learning models within distributed AI. Contribute to and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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considered. General interest in responsible AI, coursework, use of machine-learning tools, unpublished projects, or publications only in unrelated venues do not satisfy this requirement. For collaborative
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testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on UoM’s Gas-Driven
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parental leaves, military service etc.) Excellent/good skills in oral and written English. English is used as the language of instruction and supervision in this position. Expectations: A formal background
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and growing community. Learn more here: https://research.duke.edu/prospective-postdocs/. Screening of Applications Screening continues until position is filled. Job Code: 00003820 POSTDOCTORAL ASSOCIATE
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Systems and Hardware Security The Computer Security Group is a research group in
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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies
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scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration