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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work
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Holmes, is a large interdisciplinary team that includes researchers from various fields such as synthetic chemistry, surface chemistry, materials chemistry, physics, and nanoelectronics. Its primary focus
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at cell level. With large-scale proliferation, sustainable and recyclable materials are needed to avoid used cell waste accumulation. Inspired by safe aqueous battery chemistries and development in
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range of methodologies, including econometric analysis, micro-econometric demand analysis, big data analysis, health macroeconomics, discrete choice experiments, cost-effectiveness analysis, decision
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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experimental medicine studies focusing on energy homeostasis and glucose/lipid homeostasis Data Collection & Analysis: Perform in vivo metabolic testing, blood sample and tissue analyses, and molecular biology
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impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is
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the lab existing genome sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley
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and agriculture feedstocks for textiles and packaging applications supporting tow large EU funded projects. The portfolio of projects under the Sustainable Bioproducts Innovation research group provides
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large