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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
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is there for you. We’re really lucky that the bank is so supportive of any technology in the future. We’ve come up with a prototype, hand-held instant micron machine. It’s in its early stages, but we
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Department, beginning January 5, 2026. The Instruction & Digital Scholarship Librarian will be a student-centered position focused on advancing teaching, learning, and research. As part of the learning commons
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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become better versions of themselves. At BMS we do this through academic education, fundamental science and societal problem-solving. From Bachelor’s or Master’s degrees and Professional Learning
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their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
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Learning essentials Libraries and Learning Services Our people University Calendar Campus Card Enrol in courses Postgraduate students Summer school Graduation AskAuckland Student Hubs Student IT Hub Student
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This funding is available to students undertaking the following modes of study: Full-time Part-time Full-time distance learning Part-time distance learning Subject restrictions This funding is available in all