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. Project description Resource-Efficient On-Device AI/ML for IoT Systems This PhD project investigates resource-efficient multimodal machine learning for intelligent Internet of Things systems. It
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Read more and apply SciLifeLab / Careers / PhD student in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala University, Department of
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Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 7 hours ago
, 2026 Description This is a unified application form for all positions in the Optimization and Machine Learning Lab at KAUST led by Prof Peter Richtarik, including Research Intern MS/PhD Student PhD
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Phd/doctoral Tromsø, Norway Apply UiT The Arctic University of Norway Physics and Technology/Machine Learning Group UiT Noregs arktiske universitet Postboks 6050 Stakkevollan 9037 Tromsø Norway The
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<span lang="en"> Helmholtz-Zentrum Hereon</span> | Geesthacht, Schleswig-Holstein | Germany | about 4 hours ago
Material and Process Design at the Helmholtz-Zentrum Hereon is offering a 4-year PhD position in the field of computational materials engineering, machine learning, and digital twins for advanced
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requirements of Monash for PhD (https://www.monash.edu/graduate-research/future-students/apply); Knowledge of machine learning (would be a plus if familiar with NLP and Medical AI); Knowledge of cybersecurity
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direct medical advice, or developing a clinical product for hospital deployment during the PhD. The project is not limited to ordinary machine-learning evaluation where models are tested only on clean
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direct medical advice, or developing a clinical product for hospital deployment during the PhD. The project is not limited to ordinary machine-learning evaluation where models are tested only on clean
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Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection