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Application Deadline 9 Sep 2025 - 00:00 (UTC) 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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Finland Application Deadline 6 Oct 2025 - 00:00 (UTC) Type of Contract Permanent 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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their respective fields. About the position You are tasked with completing your doctoral thesis and your doctoral degree in accordance with the curriculum of your doctoral programme. Your duties may also include
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international team that has strong track record in nutritional physiology Possibility to produce high quality publications within the FIBRE-MATCH project Encouragement to develop own projects with support to
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advanced computational approaches to map the diversity, dynamics, and tissue distribution of viruses in the human body. We investigate how these viral communities influence disease susceptibility and
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Application Deadline 31 Oct 2025 - 00:00 (UTC) 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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Stage Researcher (R1) Country Finland Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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identification over the period 2020–2026. The PhD project will be centred around computational community ecology, with cutting-edge analyses being conducted primarily using the methodological developments achieved
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cloud computing infrastructures and high-performance computing Possibility to start work in Finland shortly An exceptional candidate might have, for example: Analytic work experience with real-world
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experience: PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field Demonstrated experience in analyzing high-throughput life science data Proficiency in