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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
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Sep 2025 - 21:59 (UTC) Type of Contract Temporary 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 position
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research field The postdoctoral position in Practical Theology is part
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
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 position within a Research Infrastructure? No Offer
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, and the sub-study explores the creation of spiritual cultures within postcolonial contexts. We are looking for a researcher with skills in quantitative methods and a strong foundation in post/decolonial
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
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 position within a Research Infrastructure? No Offer Description Do
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Application Deadline 11 Sep 2025 - 21:59 (UTC) Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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experiments, molecular cloning, cell culture, and standard laboratory methods such as flow cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational
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relevant to the subject area. A doctoral degree in molecular biology or genetics is required. For the employment you must also have extensive laboratory experience in biochemical methods and molecular
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal