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Field
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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
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, survey implementation and understanding the implications of sampling techniques. Proficiency in statistical methods and techniques, including developing and validating quantitative models, hypothesis
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assimilation, and machine learning frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well
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ecologists and modellers. Marine Spatial Ecology Lab (MSEL) is a dynamic group conducting world-leading coral reef research. MSEL’s portfolio spans reef ecology, ecosystem resilience, fisheries rebuilding
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Science, or a related field. • Strong understanding of heat and mass transfer, thermal comfort, and indoor environmental quality. • Proven experience in CFD modelling for airflow and heat transfer
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) Based at our St Lucia Campus About This Opportunity We are seeking a Postdoctoral Research Fellow to join an ARC Linkage Project focused on advancing geomechanical modelling for underground CO₂ and H