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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is
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volumes of data and high-performance computing is necessary. Experience in collaborative development of research software and building annotated datasets or corpora is considered an advantage. The appointee
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the analysis of omics data is required for this position. Knowledge of cancer biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and
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biology is a strong advantage. Experience with high-performance computing, genomic data integration, biological network analysis, and/or gene regulation is desirable, but not required. The position is open
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) Application Deadline 10 Apr 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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single-cell sequencing with high-throughput cell phenotyping and comparative evo-devo across species and developmental stages to link molecular cell states to quantitative phenotypes and evolutionary
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datasets derived from fragmented whole-genome data Conducting genome assemblies and SNP calling Performing phylogenomics and population genomic analyses Contributing to manuscript writing Qualifications
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Biology Vascular biology Immunology At the pre-doctoral level, previous experience in cell biology, vascular biology, mouse models, immunology or high-end imaging approaches is considered an advantage
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an independent research programme, typically in collaboration with existing research groups at the university. The appointed researcher will contribute to teaching and administrative tasks (up to 5