47 molecular-modeling-or-molecular-dynamic-simulation-"https:" PhD positions at Leibniz in Germany
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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
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sensitivity and respect for diversity Desirable: Experience in cheminformatics, molecular modeling, or enzyme mechanisms Familiarity with databases, data mining, and knowledge management Why Join Us: Be part of
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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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-reviewed journals, and present those at international conferences Closely collaborate with the modelling counterpart Your profile Master’s degree (or equivalent) in Biology, Evolutionary Biology, Molecular
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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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models (FELASA certificate), CRISPR methods, and metabolic assays are advantageous but not absolutely required We offer: A varied and exciting role in an innovative research environment A dynamic and
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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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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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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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investigate chromatin control in 2D and 3D cell culture models (including human organoids) infected with human polyomaviruses, in particular BK-Polyomavirus (BKV) and Merkel Cell Polyomavirus (MCPyV). Identify