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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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structured manner. The role requires a high degree of personal maturity, confidence, and professional integrity and confidentiality. The job involves frequent contacts and co-operation with managers and
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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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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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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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performance thanks to the competent and dedicated staff, high-performance optics, experiment setup instrumentation, control system and computing resources. The emphasis at MicroMAX is on serial crystallography
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point of view, high-level system design relies heavily on analytical skills, including mathematics, optimization and probability theory, combined with a solid understanding of how performance and
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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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