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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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biogeochemical processes that govern their behaviour. Job description The PhD candidate will develop and analyse new process-based mathematical models to improve our understanding and predictive capability
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generative models of how human tissues develop, mature and regenerate, and of what goes wrong in disease, with a focus on child health. The group starts in January 2027. You will develop generative models
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information governance and output-checking rules. Fluency in SQL and Python for cohort definition, phenotyping and model development, with sound judgement about evaluation: what a model is being asked to do
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research the dynamic processes of the Earth system. Our vision: “Taking the pulse of the Earth to safeguard a habitable planet.” For section 2.5 Geodynamic Modeling (department “Geophysics”), we are looking
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constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface modelling. Pre-employment checks and declarations Your employment is conditional upon
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models. This role is ideal for those who have a demonstrated history in collaborative research, effective communication, the ability to follow standard protocols, and an aptitude for troubleshooting
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optimize financial data models to support budgeting, forecasting, and reporting activities. • Write and optimize SQL queries, data transformations, and data validation processes to ensure accurate
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analytics applications, data models, and reporting solutions to meet complex operational, financial, student, and other institutional reporting requirements. This role requires experience with two major
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opportunities to innovate care delivery models, enhance patient safety, and provide project updates to executive leadership. • Facilities Planning & Execution: Lead strategic and operational oversight