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of brain aging and dementia progression. Despite the importance of these changes, the molecular mechanisms that drive the destabilization of mature dendrites remain poorly understood. In our cellular models
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training in pure dry lab experience are not a great fit to our lab. Strong background in molecular biology, gene editing (e.g., CRISPR), and genetically modified animal models is highly desirable. Additional
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, Bulk RNAseq), molecular modeling, and structural bioinformatics. Mandatory Requirements: • PhD in Genetics, Genomics, Bioinformatics, or related fields (completed within the last 7 years); • Proven and
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molecular principles underlying cancer cell plasticity. To complement our expertise in biophysics, imaging, and modeling, we seek a molecular biologist who will conceptually lead and experimentally manage the
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modelers, clinicians, molecular geneticists, sequencing experts and bioinformaticians are working closely together in a highly creative environment. We offer positions funded by the ERC in the research areas
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and non-myocyte cells; utilizes CRISPR-Cas9 genome editing to model genetic cardiovascular diseases; performs molecular biology techniques (qPCR, Western blotting, cloning, library preparation for omics
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21 Nov 2025 Job Information Organisation/Company The International Institute of Molecular Mechanisms Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Country Poland
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 6 hours ago
Job Code: 2025-Postdoc-GenomeCompartmentalization-2560 Job Offer from December 04, 2025 The Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and the adjacent Center for Systems
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model organisms and then working on disease risk prediction in humans. The successful candidate will join the new AI research team led by Daniele Raimondi at the Montpellier Institute of Molecular
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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental