615 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Hereon" PhD positions in United Kingdom
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services). Funding runs until April 2028. You will lead in the data collection and analysis on our biodiversity work package, conducting rigorous fieldwork that you will undertake during two visits
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. To view the job description and person specification, please click here. For further information and informal enquiries regarding the role, please contact Dr. Mark Kasumovic via mark.kasumovic
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collaboration with process engineers (Adrian Oehmen, Nasim Amiralian, both UQ) to determine adsorption capacity, regeneration efficiency, and long-term stability, generating the performance data required
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About the Role Are you interested in how the digital revolution is changing the way children read? The InTRACt Project, led by Dr Pablo Bernabeu and Prof Victoria Murphy, is seeking a motivated
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, and data-driven analysis. The project will be supported by a strong research environment with experience in concrete behaviour at elevated temperatures, constitutive modelling, and advanced numerical
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its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
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to learn from. Augment Data with Generative AI - You will use physics-constrained generative models (Diffusion models/GANs) to create a diverse library of synthetic microstructures, improving model
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Positions are filled on a first‑come, first‑served basis, so early expressions of interest are encouraged. Supervisors: Prof. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor
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regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will