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classical and/or AI/ML approaches. Translate heterogeneous data into coherent biological models and hypotheses that can guide discovery. Coordinate and mentor computational staff at CBGE, aligning methods and
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. We are recruiting a PhD student that, together with senior
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Subject description The research subject focuses on
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bioinformatician to analyse complex proteomics datasets and develop innovative tools for data processing, visualization, and generation of databases and prediction models. You will build and maintain reproducible
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through understanding their genesis and developing treatments. A core theme of our research is to develop more accurate prediction models for both the risk of developing, and also consequences
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are seeking a bioinformatician to analyse complex proteomics datasets and develop innovative tools for data processing, visualization, and generation of databases and prediction models. You will build and
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, miRNA, and proteome level from multiple lung compartments to construct a model of disease. The work will be conducted on one of several unique clinical cohorts designed to investigate different aspects
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compromising the therapeutic efficacy of radiation. This doctoral project aims to develop and validate predictive models for estimating the radiation dose delivered to circulating blood. These models can
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, visualization, and generation of databases and prediction models. You will build and maintain reproducible pipelines for analysis of high-throughput chemical proteomics experiments, apply statistical and pathway
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analyse complex proteomics datasets and develop innovative tools for data processing, visualization, and generation of databases and prediction models. You will build and maintain reproducible pipelines