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, and building machine learning models for tasks like classification and regression Key responsibilities will include: Collaborate with Researchers and Students: Work closely with researchers and higher
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support of the teaching and learning activities of the school. Key responsibilities will include: Provide timely and accurate information to students, staff and other stakeholders within the University
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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variable models (e.g., CLIP, GLIP, MaskCLIP). Knowledge of Transferability in Machine Learning is desirable. Knowledge in Active Learning is desirable. Programming skills and experience with dataset
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, benefiting from supportive and flexible working arrangements that promote work-life balance. World-Class University Experience - Gain invaluable employment experience at a world-leading research and learning
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, complex omics datasets (e.g. transcriptomic, genomic, proteomic), with demonstrated skills in statistical modelling; experience in machine or deep learning is advantageous. Emerging track record of research
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of Teaching and Learning, maintaining records and advising students and course coordinators. Assist the School’s Assessment Officer with the preparation of examinations, examination submissions, mid
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ability to manage deadlines, prioritise accurately, and work autonomously under pressure. High computer literacy, including Microsoft and Adobe suites, with the capacity to rapidly learn specialist software
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to, and enthusiasm for, the provision of excellent and accurate client service. Sound knowledge of key administrative policies and processes in a University or the ability to rapidly acquire that knowledge
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regulatory standards. Ability to analyse and interpret research data and learn new research techniques. Excellent organisation and time management skills with the ability to work towards deadlines and maintain