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, early life antibiotic use, ultra-processed foods, and microbiome changes. The research team also develops machine learning models to predict cancer risk from longitudinal medical data. For more details
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of Biomedical Data Science, with a focus on Computational Biology, Artificial Intelligence (AI) in Biology, and Bioinformatics. We welcome candidates working in, but not limited to: AI-driven approaches
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Computer Science/Aerospace Engineering/Operation Research or equivalent Experience in programming: excellent knowledge of Python Programming Languages Demonstrated project experience related to mathematical
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You will be part of the Digital Transformation team within the CFO Office to design and implement of solutions that improve processes You will partner closely with the Office of Finance, Finance
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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, genetics, bioinformatics, or related disciplines). Have a strong academic track record, including high-quality publications in top-tier journals. Demonstrate strong potential to lead independent and
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. Bachelor of Science in Chemistry Advanced knowledge of bioinformatics tools and packages, including experience in processing and analysing high-throughput sequencing data. Highly proficient in R, Python, and
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digital signal processing, control systems, and embedded AI for biological applications. Experience with AI/ML development frameworks, model deployment pipelines, and simulation environments for behavior
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, metabolomic and metagenomics data Large-scale clinical and molecular phenotypes data, including integrative omics studies Evaluation and application of appropriate bioinformatics/statistical techniques, as
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data