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. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
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. Description We are looking for a postdoctoral molecular biologist to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters
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Sensing (DAS) data from different locations in the Sea of Marmara region. The main purposes are (i) to compare detection thresholds between different types of instrumentation, (ii) to monitor seismic
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information and observations in a wider context An ability to work independently and develop the project in the framework of the PI group A talent for combining techniques and insights from different
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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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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
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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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analysis Document and test existing codes Adopt scientific codes for different scientific problems Conduct scientific research in the field of space physics Write manuscripts for publication in peer-reviewed
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. This virulence gene has been captured independently by two different Starship transposons, Sanctuary and Horizon. We seek to understand the mechanistic basis of Starship mediated HGT using these global wheat
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science