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and microscopy. This 3‑year, part‑time (65 %) PhD position offers a unique opportunity to advance fundamental and applied understanding of host–parasitoid dynamics across diverse marine environments
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balance in shallow coastal systems of the Baltic Sea. To this end, the work during this PhD position is also closely linked with another PhD position focused on CH4 dynamics, which is being advertised
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fluorescence and NMR spectroscopy approaches to study intrinsically disordered proteins with the aim of understanding their conformational dynamics and interaction landscape and, thus, their way of function
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the use of instrumental analytical methods such as HPLC-MS, GC-MS knowledge in the preparation of plant tissues for the extraction of natural substances experience in the application of molecular biological
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of microbiome research data from the project with data from literature (e.g., molecular pathways) using the knowledge graph Re-analysis of already published data Identification of microbial effectors from
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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Signalling explores the molecular dialogue between plants and microbes, with a focus on early root signalling events that enable symbiotic partnerships. Join a dynamic, interdisciplinary team where molecular
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that define protein structures, functions, dynamics and interactions Protein structure prediction and modelling, e.g. in Rosetta, MODELLER, AlphaFold, etc. Protein-peptide complex prediction or docking
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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