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Postdoc Pathways) If you enjoy working in a very collaborative, supportive and international team, you love writing and improving code, you like analytical thinking and constructive problem-solving, and you
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engineering, with a particular focus on AI, data science and decision-making The candidate's research will focus on code quality assurance, code analysis and more generally on the engineering of TrustWorthy
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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
to, the following: Developing scientific codes to process satellite data Maintaining data and code repositories lnvestigate the effect of waves on the effect of radiation belt electrons using existing codes and
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qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer. “Diversity in
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the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our
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implementation Reference code: 50144551_2 Commencement date: 01.09.2025 Work location: Hamburg Application deadline: 13.07.2025 The Climate Service Center Germany (GERICS), a scientific organizational entity of
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that can be used by engineers. Your responsibilities: Maintain data and code repositories Develop real-time visualisation on the website Develop various programming tools for scientific codes and data
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-coding RNA (lncRNA) genes in plant genomes. The Knut and Alice Wallenberg Foundation (KAW) funds this two-year postdoctoral scholarship. The scholarship amounts to 348 000 SEK per year and is not subject
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation