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will focus on the development of advanced thermoelectric cooler designs for on-chip cooling applications within the MGICIAN Doctoral Network. The project will address model-based and data-driven design
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and
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distribution modelling • Track record of peer-reviewed scientific publications • Experience in ship-based sampling campaigns • Ability to work independently as well as collaboratively in
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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Associate Directors, ensures consistent planning standards, sustainable staffing models, and sound fiscal management, and maintains operational readiness for a growing and increasingly complex event portfolio
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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murine models of joint disease exposed to controlled stress paradigms, including chronic, acute, and environmental stressors such as temperature variations. These models will allow the investigation
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to engine designs. Contribute to the development and control of gas-path and argon closed-loop systems for optimal temperature, pressure, and species monitoring. Validate simulation models against
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focuses on the study of large-scale circulation in the Atlantic Ocean, combining oceanographic data analysis, satellite observations, and numerical modelling to better understand tropical–subtropical
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team members. The span of control for this position is based on unit capacity, unit complexity, and FTE oversight. Span of control will be based on the current evidence that supports patient satisfaction