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                implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing 
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                We are seeking a Research Fellow to join our dynamic Polymers and Composites research team, contributing to a project focused on stretch blow moulding and the use of artificial intelligence in 
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                of the following areas: Artificial Intelligence, Quantum Technologies and Autonomous Vehicles. Recent relevant experience to include: Software development for real-world applications or simulation Demonstrable 
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                artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing 
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                statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your 
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                implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing 
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                The School of Management in areas relating to Digital Futures, including courses involving artificial intelligence, behavioural science, and cybersecurity, with close links to industry and public sector 
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                within the role to pursue an independent research project in the general remit of gene expression and the lab. Candidates with interest or experience in machine learning, artificial intelligence and 
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                Sciences are Turing fellows. The Erlangen programme offers excellent opportunities for collaboration with a large team of scientists interested in the foundational issues of Artificial Intelligence and Deep 
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                opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and