34 parallel-processing-bioinformatics-"SciLifeLab-" PhD positions at The University of Manchester
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industrial scale powder processing routes have been used for mixed oxide (MOx) fuel manufacture, both approaches rely heavily on milling — typically ball milling — to reduce particle size, mix powders, and
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collaboration between University of Manchester and Rolls-Royce. The coatings will be fabricated with use of electroplating process followed by thermal treatments to allow formation of diffusion coatings
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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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to operate with resilience, reliability, and adaptability. The work will investigate how individual and collective decision processes emerge from physical systems’ dynamical sensorimotor loops, with a focus on
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imaging. Novel data workflows will be developed to allow parallel multi-element measurements. The project is interdisciplinary, combining instrument development, analytical chemistry, laser physics and
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high pressures. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non
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-value metal production. However, its broader industrial adoption is limited by complex process dynamics, limited process understanding, and the lack of reliable control strategies. The PhD will advance
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the analytical tools and processing conditions help to retain material properties during recycling. Accessing modern analytical capabilities (rheology, GPC, tensile testing, microscopy) and processing tools
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. Historically, two industrial scale powder processing routes have been used to manufacture MOx fuel materials, the micronized master blend (MIMAS) developed by Belgonucleaire and utilised in the Orano MELOX fuel
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crystal plasticity and fracture, with bulk-scale processes like powder flow, compression, and tablet formation. The project will harness open-source software, including MercuryDPM for discrete particle