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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contribution to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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an international student, you will also receive either: an Australian Government Research Training Program (RTP) fees offset (International) a QUT research degree (HDR) tuition fee scholarship. As the scholarship
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms,...
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
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indexed each year in line with CPI (normally 2%) at the discretion of the Research Office at Curtin. The Curtin HDR base rate is normally higher than the Australian Government Research Training Program (RTP
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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provision and co-produce resources/actions to address identified priority needs and strategies for implementation. Training This PhD programme will provide robust training in mixed methods. Training