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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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electron tunneling between the edges of graphene electrodes, with the goal of distinguishing individual molecules, or individual molecular building blocks. The work will involve the following elements
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candidates who excel at least one over someone who ticks all boxes): The ability to work in a larger engineering team; Experience with complex web-based code bases; Demonstrable experience with machine
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods