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your EOI, nominate Dr. Xiuwen Zhou as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship You will
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk) Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio
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Information: Please refer to the following links for more information about the Research Training Program and relevant Swinburne policy Contact Graduate Research Office HDRscholarships@swin.edu.au
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‑bounded turbulence. This short, intensive 9‑month position offers an exciting opportunity to advance fundamental turbulence research using DNS/LES and data-driven optimisation techniques. In this role, you
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the process? Visit our scholarship guide Application How to apply Please apply using the link below relevant to your School. SATS are on a first come, first served basis, or until funds are exhausted. We
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skills, and excellent English. Relevant publications are a plus. For further information and detailed task description please see link below Eligibility criteria Applicants must be EU Member State
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to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model
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to multi-task learning for multi-cancer risk prediction. To develop these models, you will have access to unique biobank data containing genetic information linked to Danish registry data for approximately
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 4 hours ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within