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of gene regulatory networks in various cell types. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data. These efforts aim to uncover in more detail
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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the modeling of both shared and data type-specific variability. By doing so, it provides insights into the regulatory mechanisms underlying cancer. The research will leverage a large in-house dataset from iCAN
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research goals; Curriculum vitae and list of publications; Recommendation letter or contact information of three persons for references at a later stage of consideration; Copies of PhD degree
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responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data
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for large-scale pan-cancer multiomics data. We build on our previous work (e.g., Sanjaya et al. Genome Medicine 2023 ; Pohjonen et al. arXiv 2024 ), developing the new models on the LUMI supercomputer and
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-Gordon model, the scaling limit of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with
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2025, or as agreed, in a fixed-term contract until 31.8.2029. Background The positions are opened in the HIP CMS experiment group, which contributes to the analysis of data from the CERN CMS experiment
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Research Programme, which belongs to the Faculty of Biological and Environmental Sciences, and it is located in Viikki campus, ten kilometres from the Helsinki city centre. The appointee will work as a part
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous