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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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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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verbal communication skills. • Experience in teaching relevant subjects to university students. • Able to communicate complex and conceptual ideas to a range of groups. • Able to balance the pressures
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complex, involving multiple senders and receivers interacting simultaneously within a dynamic network. Social groups also exhibit preferred and avoided associations, creating heterogeneous social structures
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international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. The PhD position is also supervised by Prof. Dr
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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