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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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routinely collected healthcare data in health research (assessed at: application and interview) Further Information Grade: 6 Salary: £31,637 to £39,355 Work arrangement:Full-time, part-time options may be
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or as soon as possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3.5 years full-time, or pro rata for part-time
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of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
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of desired secondary structures. Experimental validation of the established AI model is also expected to be a part of this project. Specifically, your tasks will be: Running numerical simulations to generate
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funded PhD positions is August 03rd, 2025. Pre-interviews via web conference will be carried out and promising candidates will be invited to take part in our selection symposium (September 30th - October
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. Monash is one of the top 50 universities in the world, ranked top in health economics in the Asia-Pacific region. As a PhD student of the Centre, you will be part of a team of researchers at the cutting
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of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells
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This position is part of an exciting initiative to decarbonise and automate port operations, specifically focusing on the electrification, automation, and predictive maintenance of tugboats. The successful
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coupled computational framework capable of predicting crack initiation, propagation, and component failure under realistic operating conditions. Key Objectives: - Develop a finite element-based chemo-thermo