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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics
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characterisation, and computational modelling to investigate the relationship between matrix properties and osteogenesis. This will contribute to deciphering the importance of mechanical stimulation of the cellular
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Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND Reference Number Call1B Marie Curie Grant Agreement Number 101216514 Is the Job related to staff position
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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computational physics. Starting date of the position is March 1st 2027. The successful candidate will join the project "From turbulent flows to quantum fields and gravity: energy-momentum transport via symmetry
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory