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cerium-rich alloys to delocalise and join the valence electrons triggering a dramatic change in properties. The project will explore building machine learning interatomic potentials for further modelling
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Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in
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September 2025. Have demonstrated experience in one of these areas: privacy-preserving technologies cybersecurity machine learning. How to apply Apply for this scholarship at the same time you apply
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world-leading experts in the fields of brain-machine implants and epilepsy, funded by the Advanced Research and Invention Agency (ARIA), using state-of-the-art multielectrode technologies to deliver
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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project partnership, able to perform within project timescales. Competences in data analytics, machine learning / AI (for example in Python and relevant machine learning libraries), as well as interest and
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months and a full year, which can be split into multiple stays. We strive to offer our guest researchers individualised support and funding. Amongst the benefits available to award winners are invitations
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: Leverage your computational skills to model device performance and integrate advanced machine learning techniques that enhance operational capabilities. Hands-On Experience: Gain practical experience through
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, Computer Science, Bioinformatics, or a related field. - Passion for machine learning, natural language processing, and biomedical data. - Strong analytical skills and a willingness to learn new techniques
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line, resulting in the first-of-its-kind living tuneable sensor with cell-specific response. Unit sensors will be robustly characterised. Data will train a machine learning model to optimise sensor