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Field
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moisture-sensitive materials. Experience in the synthesis and characterisation of porous materials. Strong understanding of laboratory health and safety, risk assessment, and good research practice. Ability
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skills: Prior practical experience with fluorescence microscopy, atomic force microscopy or optical tweezers; Prior wet-lab experience in biological sciences, especially virology or molecular biology
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sequencing data or proteomics data Experience in wet lab molecular biological techniques. Programming experience demonstrated with good programming practice (maintaining code repositories, version control, R
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this landscape by pioneering mechanochemical extraction, a low‑energy, solvent‑minimising approach that can liberate valuable compounds directly from wet biomass. By addressing one of the biggest bottlenecks in
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spirit. Excellent written and spoken English communication skills. Desirable skills: Experience working with next generation sequencing data or proteomics data Experience in wet lab molecular biological
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experimentally driven (approximately 70/30 wet lab to modeling) and will include: Design and fabrication of 3D-printed brain tissue models with tunable transport properties Development of experimental methods
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moisture risks, directly affecting children’s health, wellbeing, and learning outcomes. This PhD will develop evidence-based, Passive House–informed retrofit strategies tailored to diverse school typologies
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Development: Develop and optimize biopolymer-based fiber spinning processes (e.g., dry-jet wet spinning, core shell fiber spinning) using materials such as cellulose and proteins. Establish and refine
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parameter modelling (e.g., deriving parameters such as snow wetness or snow density from drone-recorded snow depth data). The method development will aim to produce snow data products especially tailored
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on water control in buildings, their effects and how to fight against the damage: salt crystallisation, indoor moisture development, wall humidity, consolidation products, microbiological development