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their research within the School of Engineering’s state-of-the-art facilities. The School of Engineering is well equipped with modern manufacturing systems, analytical tools and computing equipment. It also has
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of BASF-supplied polymers, employing size
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/staff/m.j.d.clift/ ). The two research groups are based on the 4th floor of the Institute of Life Science 1 at the Singleton Campus. The groups consist of a mix of interdisciplinary academic researchers
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chemistry, physics, materials science, computer science or other related discipline. This 42-month studentship comes with a budget for training, conference attendance as well as for travel between Birmingham
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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co-supervised by both academic and industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modeling. Research Objectives Understanding
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to maximize this impact throughout the PhD programme. Given a focus on body weight and strategies to reduce this, with consideration for sustainability and current consumer preferences for naturalness
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or international conferences. The successful applicant will have a keen enthusiasm for research in fluid mechanics, with a background in Engineering, Mathematics or a related discipline. Depending on experience and
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available from October 2025 under the supervision of Prof. Helfrid Hochegger and Dr. Tony Oliver, at the Genome Damage and Stability Centre, School of Life Sciences. Deadline: 06th of June 2025 PROJECT TITLE
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms