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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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building to embed and exploit these technologies for long-term growth. AMMIC will contribute to net zero, develop industry digital skills, improve efficiencies, and create increased international
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require
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Team Science principles and practices. - Build and sustain relationships with other researchers in SCHOUSE, as well as establish new networks outside of SCHOUSE relevant to the project. This post is
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interdisciplinary environment, first-class mechanical and electronics workshops, and access to the King’s core facilities network. King’s is committed to an inclusive, supportive research culture. Researchers benefit
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and vibrant cities. Networking opportunities include visits to national and international collaborators (e.g. David Owald, Charité Berlin; Lisa Scheunemann, Free University). Role Summary Work within
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. Participate in the development of internal and external partnerships and networks in order to disseminate information, share best practice, generate income, establish opportunities for collaborative work, and
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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many disease areas. The Group works closely with the clinical trials unit/network and has close links with applied methodologists (e.g. statistics, qualitative research, operational research/modelling
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structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .