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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics” - a multidisciplinary research effort at the intersection of machine learning and materials science. This
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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and prescriptive analytics. Subject description Operation and Maintenance Engineering deals with the development of technologies to ensure high system dependability, effective maintenance processes, and
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. Teaching is performed in English at JIBS and the working language is also English, reflecting our global faculty and student body. JIBS holds prestigious “Triple Crown” accreditation (AACSB, EQUIS, AMBA
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AI training has emerged as the standard approach, which utilizes thousands of high-performance devices within a data center to collaboratively process tasks. When they are even more complex, the
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universities. About the research project This PhD project is part of the interdisciplinary WASP-WISE NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through
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computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description As a doctoral student, you will be
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Robotics and AI - Luleå University of Technology (ltu.se) Wallenberg AI, Autonomous Systems and Software Program