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Science & Informatics, to work on the InteGraL project (“Interpretable Graph-Based Machine Learning”). This Leverhulme Trust funded project is focused on developing alternatives to Graph Neural Networks (GNNs). Its
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and impact. DECIPHer hosts the School Health Research Network and an internationally recognised programme of research and teaching in methodology for the development and evaluation of interventions. In
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the field • To participate in School research activities. • To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements
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have a demonstrated ability to teach to a high standard, and will be expected to contribute to the teaching programme of the department at both undergraduate and postgraduate levels. The successful
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have a demonstrated ability to teach to a high standard, and will be expected to contribute to the teaching programme of the department at both undergraduate and postgraduate levels. The successful
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, selectivity, and pharmacokinetic properties; conducting structure-activity relationship (SAR) studies to identify key molecular features; utilise computational chemistry tools to guide compound design; analyze
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; • To participate in School research activities; • To build and create networks both internally and externally for the University, to influence decisions, explore future research requirements, and share research
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within the field To participate in School research activities. To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements
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explicitly stated in a story and what a human reader would infer by “reading between the lines”. You will work closely with Steven Schockaert. You will possess or be near the completion of a PhD in Computer