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quantitative field) A strong interest in life course epidemiology and experience in management and analysis of electronic health records and administrative data Solid analytical skills using statistical
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the COST Action InfoGUT project (https://infogut.eu/ ). • PI's UTU profile: https://www.utu.fi/en/people/matti-ruuskanen • PI's Google Scholar profile: https://scholar.google.com/citations?user=anXmb6IAAAAJ
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Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data fusion is highly desirable Ability to work independently, as well as collaboratively in
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in the Department of Electronics and Nanoengineering at Aalto University. MQS currently comprises more than 18 members and is expanding. We are advancing foundational topics in quantum computing and
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: Researching and building training pipelines for foundation models trained on nationwide health databases and structured longitudinal electronic health records. Medical Reasoning and Grounding: Developing
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of high-dimensional omics data, ideally including longitudinal data. Excellent programming skills in R. Demonstrated track record in bioinformatics and/or multi-omics data analysis. Ability to work
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of Helsinki, Finland working in the research groups of Prof. Craig Primmer and Dr. Tutku Aykanat (http://www.helsinki.fi/evolution-conservation-and-genomics ) as a part of several related research consortia
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(life) sciences and English communication skills. A suitable candidate has: Doctoral degree in a relevant field, such as bioinformatics, ecology, or computational biology Ability to conduct high-quality
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activities in one of the following pillars: Pretraining Foundation Health Model: Leading the design and scaling of pretraining pipelines on nationwide health databases and structured longitudinal electronic
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fusion is highly desirable Ability to work independently, as well as collaboratively in interdisciplinary and international research teams Willingness to supervise junior researchers and develop your