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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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fundamental research into real‑world impact. You will design, model and fabricate advanced thermal management solutions that suppress conductive and convective losses in radiative cooling devices, then scale
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toxicities, neuron-glia interactions, genetics and epigenetics will provide insights in identifying novel biomarkers and drug targets. Expand and improve skills: disease models based on genome-modified animals
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(CRISPR screens, Chromatin IP, ATAC-seq) and cellular biology (cell death mechanisms, immunology), and experience with animal models and organoid cultures. Position 3 will focus on Bioinformatics
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the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations from 3D joint coordinates; 2) understanding wireless transmission
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date for the post) Experience in maintaining stem cell culture models, with preference for mouse or human ESCs. Experience in high-throughput (epi)genomics assays or related technologies. Experience in
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of productive and creative research, demonstrated by presentations at scientific conferences Experience in developing system-scale models of water treatment technologies Experience constructing datasets required
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Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
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key properties of quantum machine learning models—expressivity, generalization, and adversarial robustness, and the inter-play between them. These foundational insights will guide the design of novel
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illuminate data, interprets reports, evaluate and criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and