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interaction analysis and single-cell approaches to unravel regulatory mechanisms of heart function and disease. CRISPR-based functional genomics will allow you to explore and steer the regulatory mechanisms
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
on methanogens and microbial ecology and we have recently developed innovative strategies for the targeted manipulation of non-model gut-associated organisms. Description The candidate will be expected to leverage
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-based fixed term until 30.06.2028 Remuneration: collective agreement of the German Länder, TV-L E 13 Founded in 1817, the Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s major
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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modeling. Our research contributes to robust management concepts for the sustainable provisioning of diverse ecosystem services, and for maintaining the integrity and diversity of ecosystems in a changing
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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. The successful applicant will integrate multi-modal live imaging and omics data using AI-based pipelines to identify and refine early disease phenotypes, laying the groundwork for therapeutic intervention
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 27 days ago
A doctoral degree in neuroscience or a related STEM field Prior experience in systems neuroscience using animal models A solid foundation in quantitative data analysis and statistics Programming
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific