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examine performance experimentally, and use numerical / analytical analysis to model and understand behaviour. You will be responsible for the design and thermal performance assessment of a range of turbine
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of biological samples (3D in-vitro models). You will be based in the @LERT (@Liverpool Robotics Engineering Technologies) lab, a state-of-the-art facility for the design, prototyping, manufacturing, and testing
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to develop correlative technologies to visualize integration targeting by cryoET in situ. You will be managing the project day-to-day, including both design and action of strategies in molecular biology and
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join the team of Professor Xin Tu in the Department of Electrical Engineering and Electronics at the University of Liverpool. Your role will include design, synthesis, testing and characterisation
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with the design, construction and interfacing of complex optical experimental setups in the broader field of optical microscopy. Ideally, the candidate would have explicit hands-on experience with
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to advancing scientific knowledge and innovation in ecoacoustics and artificial intelligence. The post holder will be part of the Leverhulme Centre for Nature Recovery, where their advances in ecoacoustic AI
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techniques such a random forest and artificial neural networks for data classification and regression (including uncertainty estimation). Working with project partners to co-design tools to quantitatively
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Work collaboratively to develop knowledge of the literature in the subject area; design and control experiments for the above project; maintain accurate records of performed experiments and conclusions
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innovative immune-modulatory strategies to disrupt the intramacrophage persister niche Work collaboratively to develop knowledge of the literature in the subject area; design and control experiments
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of circadian core clock genes. Essential selection criteria: Knowledge and experience of circadian biology. Previous work with mouse models. Holds a DPhil or equivalent. Capacity to plan and execute