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Engineering or related fields. Be enrolled in a doctoral program in the scientific area of Electrical Engineering. Willingness to work in the developing of signal processing and machine learning algorithms
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PhD Scholarship - Zema Energy Studies Scholarship Domestic opportunities in Engineering, IT and Business and Economics Job No.: 692976 Location: Clayton / Caulfield Employment Type: Full-time
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Jönköping University and School of Engineering invites applications for a Lecturer in Computer Science with a focus on data science and machine learning. This position offers opportunities
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
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and Metal Engineering within the Faculty of Engineering of Ghent University (www.ugent.be/ea/emsme/en ). We are seeking a highly motivated and talented PhD researcher in the field of system
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responsibilities? No Preferred Education/Experience Bachelor’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering, Mathematics, or related field (Master’s or PhD preferred). 7+ years