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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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; developing novel ways to combine quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational
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will possess a PhD or equivalent doctoral degree in an engineering or physical science discipline with some research experience related to critical minerals. They must be able to communicate
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focuses on the computational characterization of strongly correlated materials, with potential applications for quantum computing. Besides research, the candidate is expected to design and teach courses in
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culture that prizes diversity, friendliness, and life-work balance. Our team spans five continents and varied worldviews; we treat these differences as a source of learning and strength. Projects are open
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the direction of Luke Johnson, PhD and Jerrold Vitek, MD PhD, the Post-Doctoral Associate will work collaboratively within the NMRC on a clinical research project and have the unique opportunity to perform
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) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as
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education are encouraged to apply. PhD is expected by the start date. Applicants must apply online and are required to include curriculum vitae, cover letter, research statement and names and contact
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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of science: biological or related Type and type of call: NCN OPUS Requirements: A PhD degree, or equivalent, in the field of biology, biochemistry, genetics, biomedicine or similar, obtained no earlier than 12