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implemented in a real breeding context. Apply advanced genetic and bioinformatic tools to build a predictive model of how environmental conditions, in the context of climate change, affect yield and yield
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efficiency. You will be embedded within a multidisciplinary team of experts in artificial intelligence, bioinformatics, laboratory automation and synthetic biology. While the wider team develops AI-driven
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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are developing a suite of models to deliver a through-process microstructural and mechanical property prediction framework for steel. By integrating these models into a cohesive digital twin architecture, the work
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events is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as
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disorders such as dyslexia, and experience with child-friendly experimental procedures and safeguarding-aware practice is desirable. Diversity Committed to equality and valuing diversity Application Process
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brain circuits, but the role of protein synthesis in this key developmental process is still poorly understood. Using zebrafish and mouse models, this project will compare ribosomes in progenitors and
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mental disorder. Given this, transdiagnostic interventions that target shared underlying processes (e.g., dysregulated emotions, negative self-beliefs) could be appropriate but remain underexplored. Many