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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability
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simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability required to analyse and improve
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and performance prediction; Finite-element electromagnetic analysis; and Machine topology development, design methods and optimisation. Your experience does not need to be in a particular machine
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Responsibilities: Developing and optimising Double-D coil-based WPT systems Simulating WPT efficiency, electromagnetic field distribution, impedance matching, and misalignment tolerance using electromagnetic
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(UCL). The successful candidate will join the internationally renowned Biomedical Optics Research Laboratory (BORL) and work within the research programme led by Professor Ilias Tachtsidis, who leads
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, including limit of detection, selectivity, specificity, reproducibility, time-to-detection and false-positive behaviour. Translate optimised reactions from synthetic targets to urine-derived DNA. Collaborate
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techniques such as CV, LSV, EIS, Tafel analysis, stability testing, IPCE, and solar-simulator measurements. Experience in the synthesis and optimisation of catalysts, functional materials, electrodes
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optimisation techniques, machine-learning methods and data-driven modelling. Familiarity with robotics and autonomous-system simulation environments such as ROS/ROS2, Gazebo, AirSim, Unity, or equivalent
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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& Bioinformatics Develop, implement and optimise computational pipelines for analysing large-scale whole genome, whole exome and multi-omic sequencing datasets. Analyse somatic mutations across multiple mutational