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position can be filled on a part-time basis with a minimum of 32 hours per week. The Planetary Boundary Initiative (PBI) is a growing network of institutions and organizations that aims to develop a
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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economic consequences. High self-motivation to solve complex problems Independent way of working Reliable and conscientious working style Basic programming skills (Python) advantageous Very good knowledge
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of virtual and physical computer systems (Windows, Linux) Support of internal network and automation systems including end devices, as well as user rights management Provision of IT support services (e.g
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in the challenges of the energy transition and its economic consequences You have a quick grasp and the ability to analyze and creatively implement complex issues You are proficient in the use
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and qualitative modelling approaches for complex social-ecological systems (SES) of tropical coastal zones in Peru, Colombia and Indonesia; Scenario development and Horizon Scanning – to systematically
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific
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machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems Further scientific development
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(100 % E15 TV-L). The central task of PRIDAS is developing and providing data science services, processing and analysis methods, and modern management of highly complex multimodal data. In research with