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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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: Knowledge and skills relevant to the research area and subject, as outlined in the work description. This includes demonstrated expertise in LCA methodologies, material flow analysis, wood-based products, and
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on the broad topic of Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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: Microscopy, histology, and image analysis to phenotype root anatomy. Plant and root physiological measurements to determine the function of root phenotypes. Genome-wide Association Studies (GWAS) and
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen
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status, and nursery layout. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use
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recommended. Practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended. Basic expertise with scientific data analysis. Good skills in scientific writing. We
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, management, quantitative analysis Lead in publication outputs in appropriate academic and industry fora The role-holder will also have management, liaison and networking responsibilities. The skills
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image analysis to phenotype root anatomy Plant and root physiological measurements to determine the function of root phenotypes Plant cultivation (maize) in the greenhouse and field Keep informed with