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hours. Skills in utilizing artificial intelligence for materials design will be highly valued, particularly in optimizing thermal energy storage materials for various applications and improving system
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% of working hours, to contribute to the academic mission of the institution. Skills in the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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young people, their families, and educators to develop a neurodiversity-affirming toolkit to explore children’s character strengths, abilities, and potential across contexts. Embedding Artificial
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow
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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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activities to share knowledge and contribute to the academic mission of the institution, up to no more than 20% of working hours. Skills in utilizing artificial intelligence for materials design will be highly
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD (or foreign equivalent) in Bioengineering, Genetics, Genomics, Biomedical Engineering, Analytical Chemistry
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learning/artificial intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI