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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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global extinction risks and climate impacts embedded within international wood trade networks, enabling robust attribution of environmental impacts from harvest to consumption. These will be used
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radiation-induced reaction kinetics and mechanisms, including pulse radiolysis experiments on ACER’s accelerator facilities. Data analysis (e.g., fitting transient absorption data, making plots of spectra
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hazard identification across the region. The successful applicant will be responsible for the mapping and analysis of fault-based and volcanic geomorphology using high-resolution satellite imagery and
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superconducting quantum processor at Aalto University’s Quantum Coputing and Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the