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described above, the successful candidate will establish and lead: a.) AI-Driven Reliability Modeling, Predictive analytics for power system reliability assessment, machine learning for equipment failure
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Job Description Apply now Req Id: 39446 Job Title: Managing Director, Purdue Military Research Institute (PMRI) City: West Lafayette Job Description: Job Summary This is a high impact leadership
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Training and Support Grant (RTSG) and a £1,920 fieldwork budget (to support fieldwork/conferences/PIPS placement). Eligibility criteria This is an in-person PhD programme and a distance learning option is
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(preferably) in Computer Science, Electrical Engineering, or a related field. You have a strong background or interest in one or more of the following areas: computer vision, machine learning, signal processing
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administration and organisation. We are looking for a/an Senior Scientist in Experimental Quantum Machine Learning 51 Faculty of Physics Job vacancy starting: 01.02.2026 | Working hours: 40.00 | Classification
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to simulate key optical features and explore optimal alignment of beamline components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment
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of dark matter particles in the decay of the gluinos. The search will be performed using the full ATLAS Run-3 13.6 TeV proton-proton collision data. The student will gain expertise in machine learning and
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selection process for an indefinite employment contract within the framework of a Line of Research Research line: Machine learning applications https://www.upv.es/entidades/SRH/conypi/A1268833.pdf Where
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix) School of Medicine and Population Health PhD Research Project
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vibrant department with active research clusters in algorithms, artificial intelligence, bioinformatics, computer networking, computer vision, graphics and Virtual Reality, high-performance computing, human