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Field
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge of complementary structural and biophysical methods. Specialist knowledge in the discipline
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of metastable states and low-energy pathways between them, and determining when and how constrained dynamical trajectories select these structures over more typical ones. The postdoc will (a) contribute to the
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process conditions, composition, structure and functionality of milk and whey proteins, and how these affect the quality, texture, stability and nutritional value of fermented dairy products. The work
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research fellow to lead the computational arm of a Leverhulme-funded project investigating how cryogenic OrbiSIMS interacts with complex biomolecular structures. Working closely with experimentalists and
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Understanding structure-property relationships in functional polymer materials Contributing to collaborative projects in organic electronics, energy-harvesting materials, and related device platforms Where
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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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and peptides; experience in using structural guidance for ligand design; and experience in biochemical and cellular assays, including target profiling/target engagement. The post is available from 1
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critical to our understanding of TC structure and intensity. The primary role of the incumbent will be to document, assess and quantify the impact of emerging technology data sets (e.g. drones/UAS, high