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topic: Dissecting the interactions that lead to selectivity of pepstatin-based probes for photoaffinity labelling of plant aspartic proteases In this highly multidisciplinary project, we will study the
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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experimental and will begin with an identification of a set of research questions based on a detailed literature survey. A preliminary research proposal is required for the application stage with a timetable for
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and how can these be quantified? The PhD project will be largely experimental and will begin with an identification of a set of research questions based on detailed literature survey. The preliminary
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features allow overcoming such limitation? The PhD project will be largely experimental with some modelling aspects, and will begin with an identification of a set of research questions based on a detailed
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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are essential to develop new disease biomarkers and glycan-based therapies. Tasks: you will contribute to the cutting-edge research in the Schumann lab to generate chemical tools that probe and investigate
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exercises, mindfulness-based exercises, pain education, and healthy practice habits. Your primary role will be to develop the physical exercise component of the intervention. The project is a collaboration
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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on the remit of the Department here on our homepage. The fixed term is based on the German Academic Fixed-Term Contract Act. Tasks: The assessment of mixtures and their toxicity remains a regulatory and