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Field
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optical modelling and characterisation Optimisation of PV collector cell design How to Apply To be considered for this position, please submit your curriculum vitae and respond to the selection criteria
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multi-year strategic plan to optimize teaching space operations, ensuring alignment with University strategy and supporting the delivery of high-quality, fit-for-purpose learning environments
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projects. Work with the research group/business area to understand and identify where data analytics can add value. Prepare required data sets for sophisticated statistical analysis, model generation and
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: Conduct research on bubble-particle interactions in flotation across molecular to industrial scales using advanced modelling tools like CFD, Matlab, and experimental techniques such as AFM and XCT
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. Desirable criteria Experience with CAD and FEA software, preferably the Solidworks software package, particularly with more complicated assembly models. Knowledge of high-temperature thermo-optical
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policies and procedures. Demonstrate the highest possible standards of professional and personal conduct, modelling the University’s Values and Signature Behaviours. Who we are looking for/Selection Criteria
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expertise. We will consider applications from academics who work on any system, including model organisms and humans, but we particularly encourage applications from academics who work with plants. We invite
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, practices, relevant standards and legislation coupled with a sound understanding of operating system platforms and security models relevant to IT technologies and processes Advanced knowledge and experience
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capital markets, financial modelling and valuations Exceptional management and leadership experience Highly developed numerical, conceptual and analytical skills, and technical expertise to resolve complex
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protein derivatives in human and mouse ex-vivo neuronal model systems. These experiments aim to generate therapeutic efficacy data for patent application and enable the selection of candidates for future