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environmental and health policy; measuring the societal costs of taxation; analyzing the influence of the public sector on firm birth, growth, and productivity; and taxation and development. Our research utilizes
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within a multidisciplinary research environment spanning two Nordic countries, with active groups in Helsinki and Oslo. The position is open to applicants with a PhD degree in computational biology
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, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
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appreciated) Ability to handle large sequence datasets Experience of working in HPC environments Strong interest in molecular evolution Good written and oral communication skills in English Willingness to work
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, and enthusiastic working environment that accommodates diverse backgrounds and working styles. The appointment will be initially for two years starting from August 2025 (possibility to start earlier
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computational tools for biological data analysis Teamwork skills and the willingness to collaborate, share ideas, and contribute to a multidisciplinary research environment that spans two Nordic countries, with
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primary workplace is the Ruralia Institute in Mikkeli, with the possibility of hybrid work (within Finland). The University of Helsinki offers extensive networks, a multidisciplinary work environment