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to plan and prioritise research, identify research objectives, work collaboratively with project partners from academia and industry to deliver project outcomes. Have the ability to present results and
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theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
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for candidates with a strong foundation in human physiology and metabolism, and a passion for impactful, translational science. Key Responsibilities: Research Design and Implementation: Plan and execute
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maturity in the above areas; • strong skills and interest in building instrumentation to address biological questions; • strong quantitative skills in data analysis and programming
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industrial experts. Nice to have: Proficiency in programming languages (Python, MATLAB, or similar software) for data analysis/model automation. Prior industrial collaboration or scale-up project experience
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication
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EEGLAB or similar). Programming or data analysis skills in MATLAB, Python, or R. Experience conducting gait or balance experiments using forceplates or motion analysis tools. A developing publication
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temperature. Now, we plan to transform the material system to platform for quantum technology, a coherent 2D spin-photon interface for networks and sensing. To work towards this goal, this 2-year project will
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the project and subject area, and develop/implement a suitable research strategy. 8. Enhance the University’s international profile in line with its Strategic Plan, “Inspiring People; Changing the World”. 9