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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability
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and experimental models. Our research focuses on combining large-scale molecular data - including metabolomics, lipidomics, genomics, proteomics, glycomics, and microbiome data - with advanced
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during cancer, inflammatory diseases, and vaccination. The successful candidate performs laboratory experiments, including in vivo models, analyzes tissue and cell samples using imaging and omics
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funded by the Research Council of Finland, the Kone Foundation and the ERC, with a focus on using the well studied Teno Atlantic salmon system as a model for adaptive management to assess biological and