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is within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to handle state of the art research in biomedical
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise
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the opportunity to contribute to the establishment and optimisation of these experimental systems in compliance with regulatory requirements within the host group, collaborate across disciplines, and contribute
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wearable sensors for resting breathing data collection. They will also ascertain whether the quality of home monitored data is suitable for SPAR analysis (in house software). Key responsibilities: Optimise
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an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital
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an adaptive, self-optimising manufacturing ecosystem where production lines can reconfigure in real-time, in collaboration with domain experts (e.g. operators, planners, designers) that are supported by digital
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laboratory-scale R&D on PCM-integrated heat exchangers, develop modelling tools (e.g., COMSOL, ANSYS, TRNSYS, MATLAB) for thermal and system-level optimisation, and support prototype fabrication
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and targeting specific applications. Job Duties The job duties will be the following: Optimise stacks and processes towards the production of new sensing devices beyond current state-of-the-art; Micro
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optimisation of system efficiency, scalability and operational performance. The position offers an excellent opportunity to engage in applied research at the intersection of waste management, system design and
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(CAVs) Traffic control and signal optimisation Navigation and routing strategies Operations research and network optimisation Big data analytics and machine learning Mōu | Who You Are To be successful in