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Protonic ceramics represent an emergent class of materials that have potential utility in several intermediate-temperature electrochemical applications, including the production of “green” hydrogen
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, for example). The translation of input material properties into tablet properties via granulation, granule properties and tablet compaction, lacks fundamental understanding. Prior knowledge developed on current
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, we are seeking a highly motivated candidate with established hands-on experience in chemical engineering, materials, or biology.
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to the field of smart materials and systems. Essential and Desirable Student background Criteria Essential criteria: Degree in materials science, Engineering, Physics, or related field. Experience with additive
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X-ray Scatter Tomography (ST) is emerging as a powerful imaging technique with implications for biomedical, security or material characterisation applications. It is based on detecting scattered
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transmission electron microscopy, mechanical testing and materials modelling methods. Candidates should have a 1st class or 2:1 Undergraduate degree or a Masters degree (or equivalent) in Materials Science, or
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Psychology Doctoral Research Studentship - Colour Perception and Subjective Colour Experience (2024)
A PhD studentship is available as part of the ERC-funded project COLOURCODE’, investigating the neural basis of subjective colour experience. The PhD student will use individual differences in
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degree (or equivalent) in Materials Science, or within a related Science & Engineering discipline. A background in microstructural characterisation, computational modelling methods, and/or advanced
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or a Masters degree (or equivalent) in Materials Science, or within a related Science & Engineering discipline. A background in microstructural characterisation, computational modelling methods, and/or
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research and development experiences. Laboratory skills including essential chemistry and engineering lab practice, alongside chemical and physical characterization techniques. Additionally, summer school