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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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Research Associate to join the Northern Net Zero Impact Accelerator project titled ECO-HAVEN: Energy Conservation for Households using Adaptive Edge Learning. This project develops a low-cost, privacy
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15 full-time researchers offers a stimulating and supportive environment to learn and grow. Your profile Required qualifications: Undergraduate degree in Engineering, Physics or Mathematics with strong
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply
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of Private Law of the Faculty of Law at Radboud University. The research will be part of the Radboud Business Law Institute. Furthermore, you will collaborate with researchers from various disciplines at iHub
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(Kingdom of the) [map ] Appl Deadline: 2025/06/30 11:59PM (posted 2025/06/11, listed until 2025/12/11) Position Description: Position Description Joint-PhD Position on Advancing Machine Learning Methods
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these challenges by combining advanced metrology, data science, and machine learning to develop predictive models and new standards for recycled plastics. Based at the University of Manchester, in collaboration with
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish