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expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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more: Discover SQUASH 3/ WHO CAN APPLY? To participate in the evaluation process, applicants must meet the following criteria by the application deadline: Eligibility Summary PhD awarded (or thesis
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programmes. It will provide the candidates the opportunity to initiate independent research, to acquire new skills and experience and to promote distinct interactions with other scientists. The objectives
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and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and
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English. Demonstrated ability to work independently, set research objectives, and meet deadlines. Willingness to travel for collaboration and dissemination (Europe and beyond). Desirable Criteria Industrial
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to get involved in the EU-project INITIALISE, with the objective of elucidating how exposures and genome impact gut microbiome, host immune system and metabolism, and how the interplay of these factors
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main project but also play a key role in supporting the lab's overarching research goals and objectives. This is also an excellent opportunity to contribute meaningfully to the lab's research goals while
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is to discover novel “signatures” of autoreactive T cells and pathways leading to autoimmunity. The lab also focuses on extracellular vesicles as a means of communication between immune cells and
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the following things we are working on this may be the perfect opportunity: 1. Development of cell-free DNA (mutation and methylation), RNA, and exosomal-based liquid assays for early cancer detection