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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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structural modeling, protein engineering and directed evolution, ML approaches of biomolecular design, high-throughput screening technologies, biochemical and biophysical characterization of proteins
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-like environments where scientifically appropriate. Planning and structuring research activities, including the definition of milestones, regular progress reporting and iterative refinement based
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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, and microbial resource management. The work comprises the analysis of temporal dynamics of bacterial and archaeal communities, large-scale sampling and quantitative molecular analyses, as
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is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through
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understand the molecular and cellular mechanisms that underpin post-viral syndromes, with a particular focus on Long COVID. You will be a key member of a dynamic, international, and friendly team, working
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its innovative power and dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary
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of the openings separately. Key responsibilities: conduct regional case studies on biodiversity resilience, degradation, and tipping dynamics analyse large biodiversity, environmental, and pressure datasets
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and neutron scattering for structure and dynamics of these systems. For more information, see www.soft-matter.uni-tuebingen.de . Currently we are looking for a post-doctoral researcher to contribute