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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning. The successful applicant will participate in research involving human computation, knowledge
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variables, regression discontinuity, and difference-in-differences), and machine learning methods, with familiarity with operations research and game theory as additional assets. (E) Ability to develop and
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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of learning opportunities provided by TU Dublin and/or external agencies related to their particular research programme or research practice in general. Hours of Work: A 37-hour working week is in operation
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to disciplinary standards) Experience in research management Didactic skills / experience in e-learning IT skills Excellent knowledge of English (C1) Team player and high social/communicative skills Knowledge
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled