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infrastructures and a vibrant international scientific community. About the project Repeat sequences are widespread in genomes and inherently unstable; changes in nucleotide repeat length that result in expansions
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interests which align with their own. Please note that it is not necessary for applicants to contact departments or staff members. Applicants should outline why they particularly wish to be part of the TIES2
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should identify both the department within which they wish to be located and outline relevant areas of the department’s research interests which align with their own. Applicants must also outline how
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reproducible analytical workflows. Evidence of high-quality scientific publishing and the ability to develop an independent research agenda aligned with the objectives of the DIWA Flagship. Experience in
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previous research experience and current work align with the overarching aims of the team Suffering and Meliorism in Literature and the Philosophy of Literature; a research idea outlining why the project’s
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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) at the Department of Computer Science, aligning with concurrent projects developing foundation models for healthcare. The groups are active members of the ELLIS Institute Finland (https://www.ellisinstitute.fi
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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several key events to an adverse outcome across multiple biological levels) Build documented, reproducible and reusable computational workflows for collaborative research Scientific contribution and
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on a broad range of topics, including advanced physical layer design, multiple-antenna systems, reconfigurable intelligent surfaces, integrated sensing and communications, non-terrestrial and UAV