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Field
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networks continuously generate sensitive data. You will investigate adaptive learning frameworks – such as multi-agent or multi-task approaches – that ensure robustness, explainability, and trust across
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of the student’s project and allow them to network. The partners will also be able to offer the PhD student the opportunity of placements, during which the student can gain major insights. This would help them
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spectroscopy, and gas chromatography. Advice on scientific communication, writing, and data analytics will be provided. Presentation of data at national and international conferences is encouraged and the PGR
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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learning and AI, to interpret complex datasets and extract meaningful patterns related to geographic origin and land-use history. You will join a vibrant research community and benefit from interdisciplinary
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, its wide networks of top international scholars, participation in international projects, and funding for conferences and training. We encourage applications from candidates of diverse backgrounds and
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or Stata (or similar packages) would be an advantage, although training will be provided. Strong written and verbal communication skills are essential. The project is based in the Net Positive Centre’s hub
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
opportunities. As part of Cranfield University’s strong industry and research network, the student will have the chance to attend international conferences and present findings at key events in the fields
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Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative
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The South and East Network for Social Sciences (SENSS) offers fully-funded studentships – fees paid plus a stipend (salary) of between £20,780 and £22,780 per year – for postgraduate researchers