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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong
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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong
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in programming would be highly beneficial. A good command of English is essential because it is the local working language and is required for our international collaborations. The PhD positions
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simulation environments, numerical methods, or machine learning approaches is an advantage Fluent command of written and spoken English is necessary; German is an advantage but not required High degree
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projects: We study regulatory mechanisms that govern cellular quality control. On the one hand, we are interested in DNA repair pathways and factors that ensure complete and accurate DNA replication in
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willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use of standard MS programs and a good command of written and spoken English.
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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molecular components, including maternal mRNAs. These messages regulate protein production and guide early development before the embryo takes control of its own gene expression. But timing is crucial