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Project (PhD Position) – AI-Guided Design of Scaffold-Free DNA Nanostructures Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with
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are three-stranded nucleic acid structures consisting of an RNA-DNA hybrid and a displaced single-stranded DNA (Allison et al., CST 3, 38-46 (2019)). They form naturally during transcription, where
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with arbitrary complexity and shape at the sub-nanometer scale
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” the temporal formation of radiation damage will be investigated. Radiation may induce elementary lesions like double strand breaks to the DNA in cell nuclei, which may interact within a certain time scale
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25892 PhD Position in Molecular Mechanisms of Human Infertility (m/f/d) Stellenanzeige merken
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. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on
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Description In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (Salary group E13 TV-L, part-time 65
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In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (17/2025) (Salary group E13 TV-L, part-time 65
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25541 PhD position - Functional and molecular characterization of AI-based morphological predictors