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, computer science, mathematics and engineering sciences in general. DTPA’s research focuses on developing quantitative and analytical theories, alongside advanced methodologies rooted in mathematical modeling
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. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement
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of cardiovascular and cardiothoracic conditions. Applicants should hold a PhD (or equivalent) in a relevant discipline such as Medicine, Computer Science, Engineering, or Mathematics. Those who have submitted
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on qualified candidates for the position. Embedded Systems Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development
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California State University, San Bernardino | San Bernardino, California | United States | about 7 hours ago
experiences, backgrounds and insights, we inspire innovation, challenge the status quo and create better outcomes for our students and community. As part of CSUSB’s commitment to hire, develop and retain a
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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" "Mathematics for vehicle development" "System analysis, prognosis and control" "Transport processes" "Image Processing" "High Performance Computing" "Financial Mathematics" "Materials characterization and
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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-making through data-driven insights and reporting. This role is responsible for compiling, analyzing, and presenting data from multiple internal and external sources to support institutional planning