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the NIHR Research for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related
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cytoplasmic lysyl hydroxylase that modifies a translation factor GTPase (Nature Chem Bio 2018; Genet Med 2023; Structure 2024; Cell Mol Life Sci 2021). Here in this highly competitive BBSRC-funded project, you
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culture, cellular transfection, RNA expression analysis (qRT-PCR, RNA-seq), FACS analysis, Western blotting, ELISA, and bioinformatics. A background or interest in osteoarthritis, drug discovery, RNA
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, peptide-driven regeneration and electrophoretic deposition). Use multi-modal, multi-scale 4D microscopy (SEM, AFM, SRCT) for the analysis of the evolution of globule formation, crystal nucleation, self
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, and analysis of quantitative research, including surveys, data collection, and statistical analysis Managing intervention for SIAs Work collaboratively with law enforcement agencies, academic
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methodological guidance and statistical expertise in the design and analysis of applied health research projects and developing methodology. The post holder will work alongside a number of systematic reviewers
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will be provided in all of the component techniques but demonstrable experience in a number of the aspects is required. Given the multidisciplinary nature of the project, it presents an outstanding
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modelling for the analysis of biochemical processes. In this role, you will develop mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on formal
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molecular biology and protein-based laboratory techniques and CRISPR. Experience with single molecule DNA fibre analysis is preferable. Role Summary To plan, carry out and develop laboratory-based research
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development of mathematical models and algorithms for the analysis of biopharmaceutical manufacturing processes with a focus on assuring safety and alignment of machine learning models with the expected