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of handling, cleaning and integrating complex genetic and molecular phenotype data into epidemiological datasets (pipelines); Working with epidemiologists and other colleagues in the Centre to help develop and
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, cleaning and integrating complex genetic and molecular phenotype data into epidemiological datasets (pipelines); Working with epidemiologists and other colleagues in the Centre to help develop and implement
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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position
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, whose primary activity will be academic research in association with a faculty member or team. The appointee will contribute to research projects focused on conducting statistical analysis of Omics data
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: - Ensure that the impact of social context is central to
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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research, teaching & administration, which means: You build up an independent research profile in the field of mathematical statistics. You are involved in research projects and scientific studies in