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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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career. Information on CGEN and its individual groups can be found at: https://cgen.ku.dk/ and on ICMM at: https://icmm.ku.dk/english/ . Project description The project will be decided in consultation
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which are the largest flowering plants in the world! See https://eucxylo.sun.ac.za/open-air-lab/ for more information. The focus of this new experimental facility and associated research program is the
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may refer to https://www.uni.lu/snten/research-groups/sigcom/ . The successful candidate is expected to assume a leading role in advancing research and experimental work focused on software-defined
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neurodifferentiation and cancer models. Candidates with strong interest in gene regulation, chromatin architecture, epigenetic mechanisms, and non-coding RNA biology are encouraged to apply. Experience in performing and
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, collaborating with experimental partners on validation, maintaining clear and reproducible code and documentation, and communicating findings through presentations, manuscripts, and contributions to grant
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may refer to https://www.uni.lu/snt-en/research-groups/apsia As a postdoctoral researcher, you will be fully funded by the project "Quantum LDPC codes with efficient decoding algorithms" supported by