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Field
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Realities • Research Theme D: Adaptive and Distributed AI for Intelligent Realities • Research Theme E: Networking for Intelligent Realities This PhD research focuses on developing adaptive and distributed AI
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, disease progression, unacceptable toxicity, patient preference or declining quality of life. This PhD project will develop methods to reconstruct cancer disease dynamics and treatment trajectories from
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electrification and sustainable transportation Transportation operations management Transportation resilience Urban computing and spatio-temporal data mining Urban rail transit Faculty Positions in ROAS
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Application dates Applications close30 September 2026 What you'll receive You'll receive a stipend of $41,555 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years
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Engineering School of Electrical & Communication Engineering School of Mechanical Engineering School of Mining Engineering Applications are now invited for the following positions: School of Mechanical
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Sep 2026 - 23:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is
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to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc
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performance computing resources; and developing, maintaining, and mining chemical and biological databases. Proficiency in scientific computing languages, such as R and python, and open-source programing tools
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will be preferred. Requirements: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields Prior experience and proficiency
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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale