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industry, funding bodies and national organisations. Oversee major multi‑partner funding bids and support large‑scale collaborative initiatives. Guide strategic planning, foster a culture of innovation and
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in scientific operations Substantial experience leading complex, multi-disciplinary scientific facilities or research infrastructure Demonstrated success in managing large-scale operations, budgets
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, experiential learning, employer engagement, or equivalent student services area. Four (4) of the seven (7) years must be in a supervisory role. Experience building multi-sector partnerships and managing cross
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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laboratory and will focus on macromolecular engineering, synthesis and multi-scale/physics characterizations of structure/ionic transport properties of self-healing polymer electrolytes. In close collaboration
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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optical image, visual optics, and bio-medical implants. The Centre brings together a multi-disciplinary team of over 20 PhD and Post-Doc researchers in manufacturing engineering, instrumentation and optics
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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within the framework of project MULTI-COAT - MULTIscale Coating Optimization with Artificial intelligence Technologies, with number 15050 and operation code at the Funds Platform COMPETE2030-FEDER-00870200
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growing research enterprise in large-scale precision medicine, clinical AI, and genomics. This cluster forms a cornerstone of UTA’s RISE 100 initiative and its strategic expansion in Precision Health and