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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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datasets we will use bioinformatics to enable quicker and more comprehensive analysis. Aims: By using a bioinformatics analysis pipeline we will investigate whether vaccination responses are affected by
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maps and model building. You should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. You will work under the guidance of Dr. Maria Schumacher on a
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network analysis); You will write international peer-reviewed scientific papers; You will work in a collaborative environment that seeks to improve one another’s research; You will present your work
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consumables budget. This position will be based on the Aston Campus in Birmingham, UK. Background: Integral membrane proteins (IMPs) are essential for cell function and represent ~60% of all drug targets, yet
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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for microscale analysis and a strong tradition in analytical and electroanalytical chemistry. Loughborough University has an applied research culture. In REF 2021, 94% of the work submitted was judged to be top
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& Responsibilities: The individual will closely work with the lab members on the following tasks: Perform molecular cloning and plasmid reconstruction with high precision Conduct reporter assays to analyze gene
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environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work bridges
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the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which are closer to real-time