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boosting, and related machine-learning approaches Evaluation of model generalizability using train/test splits, leave-one-cohort-out validation, and leave-one-platform-out validation Assessment of predictive
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique
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postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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12th October 2026 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within Physics-Informed Machine Learning for Offshore Wind Apply for this job See
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requirements: Candidates must hold, at the time of application, a Bachelor’s degree in Informatics Engineering or related fields. Candidates must also have knowledge in: i. Deep Learning and LLMs: practical
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related to the field of Vascular Neurology. Proficient at EPIC. Strong organizational and communication skills. About the Department To learn more about the Department of Neurology, please visit https
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algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune
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workplace. To learn more about our culture and hiring process, explore our Jobs at Macquarie page. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415635/research-fellow-pho