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PhD Studentship: Ammonia Solid Oxide Fuel Cell for Carbon-Free Energy Production at Cranfield University This site uses cookies to store information on your computer. Some of these cookies are
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the
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molten pool that solidifies on a substrate, enabling the layer-by-layer construction of complex 3D objects. The temperature field created by the interaction between the electric arc and the material
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Join Cranfield University’s Systems Realization Group (SRG) for an MRes project combining software engineering, data science and human-centred AI. You will integrate existing research demonstrators
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. The project offers exposure to real-world storage facilities, interaction with farmers and grain operators, and participation in industry events. Interdisciplinary mentoring by Dr Carol Verheecke
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thorough understanding of surface topography, surface roughness and physical and chemical characteristics exhibited by surfaces at atomic levels that actually effect this interaction at macro level. At a
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will contribute, we will characterise plant genetic mechanisms that coordinate the interaction of mycorrhizal fungi with plant P and water status, the development of the root system and the broader
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degree. The candidate should have some understanding of water science and should be self-motivated, have good communication skills for regular interaction with other stakeholders, with an interest in
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conferences. About You You will be educated to doctoral level in Remote Sensing, Geography, Geoinformatics, Computer Science, Artificial Intelligence, Machine Learning or a related discipline. You will have
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, molecular biology, or biotechnology would be advantageous. Candidates should be self-motivated, have strong communication skills for regular interaction with academic and industrial partners, and demonstrate