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as healthcare, cyber-physical systems, and foundation models, including large language models. Depending on the candidate’s interests and background, the project can focus on algorithm design
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learning (ML) methods, and artificial intelligence (AI). This includes working with performance, scalability, resilience regarding platform architectures, and algorithm performance for AI/ML. The
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? Would you like to investigate how human genetic variation influences the oral microbiome and contribute to a better understanding of the mechanisms underlying health and disease? We are offering a PhD
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repeated phenotypic adaptations. This question has important implications for predicting genetic responses to changing environments. This project aims to integrate mechanistic insights about phenotypic
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genetic mechanisms underlying pregnancy loss by developing computational approaches that may contribute to improved molecular diagnostics. The doctoral student will investigate the contribution of
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, and diseases. Crop genetic diversity can strengthen resilience under these conditions, but the expression of resilience depends strongly on the environment and on how crops are managed. Service crops
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collaborate excellent written and oral proficiency in English. Documented experience in molecular genetic lab work, or plant sciences is a merit but not required. Special emphasis will be placed on
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increased risk of neurodegeneration in carriers of the APOE 4 genotype, the strongest genetic risk factor for Alzheimer’s disease. The project entails clinical and pre-clinical studies to elucidate how
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) , Linköping. The research group focuses on integrative multi-omics, the interplay between genetic variation and human phenotypes, and the development of AI-driven approaches to better understand human
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genetic elements – so-called 'genomic dark matter' – in human brain development and disease. The group consists of 8 research-active members and is led by Dr Christopher Douse. We are fascinated by how