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-time 65 %, limited for 3 years, start: as soon as possible) Are you passionate about machine learning, molecular science, and making discoveries at the interface of biology and chemistry? Join us at the
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Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Department of Molecular
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to overcome breeding barriers in barley. The project combines in silico analyses, molecular cytogenetics, single‑pollen nucleus genotyping, and genetic mapping to unlock natural genetic diversity from wild
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Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Department of Molecular
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inflamed sites using State-of-the-Art Mass Spectrometry-Based Multi-Omics. We aim to dissect the cellular and molecular heterogeneity of various TMEs with highest sensitivity down to the single-cell level to
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on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
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Raw1 and Raw7 at a cellular level in spike meristems. Your qualifications and skills: You hold an MSc. in plant biology or related fields with a strong background in plant developmental and molecular
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the interface of immunology and cancer, which is one of the most exciting fields of recent biomedical research. We provide a dynamic and motivating working environment with flat hierarchies where you can foster
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researchers specializing in marine segmented worms (Annelida) with comparative genomics experts. Its goal is to better understand European biodiversity using cutting-edge molecular and computational techniques
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the dynamical and statistical characteristics of the numerical model data. The candidate shall explore whether the above data assimilation can be done in one step for full 3D fields, or if it is advantageous