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for advanced training in science or engineering. NSF Graduate Research Fellowships are awarded for graduate study leading to a research-based master’s degree or PhD in a relevant field. NSF Graduate Research
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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another relevant subject), and either a PhD in law or substantial relevant legal professional experience. You must also have relevant specialist knowledge and expertise (see Job Pack). Familiarity with
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Feutrill Award is offered to PhD students travelling to conferences in organic chemistry outside of Victoria. Benefits This award provides a one-off payment of around $500 to $1000. Funds may be split
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another relevant subject), and either a PhD in law or substantial relevant legal professional experience. You must also have relevant specialist knowledge and expertise (see Job Pack (available
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interpretable, synthesis-proximal modifications to known materials. Create generative models for material discovery adhering to strict physical constraints needed for stable and synthesizable crystal structures
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are a full-time honours year or PhD student studying a topic of relevance to prudential supervision and are an Australian or New Zealand citizen or permanent resident you are eligible to apply