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PhD Student (f/m/d) | NMR structure of AP-L complex of hIAPP and its effect on fibrils and membranes
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago-based Structural Biology (Prof. Dr. Christian Griesinger) is inviting applications as follows: Organisation/University Max Planck Society/University of Göttingen Research Field Biochemistry – Biophysics
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Salary: Research Assistant: £31,236 -£35,608; Research Associate: £37,694-£46,049, per annum The Centre for the Study of Existential Risk (CSER) is seeking a Research Assistant/Associate to work
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on massive networks of heterogeneous devices operating in complex, dynamic environments. However, traditional fault tolerance mechanisms struggle to manage the runtime uncertainties and diverse failure modes
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major challenges. One of the most critical issues is related to the complexity of the multilayer architecture. Indeed, highly efficient OLEDs require the stacking of multiple organic layers to maximize
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complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
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17 Apr 2026 Job Information Organisation/Company CNRS Department Chimie des colloïdes, polymères et assemblages complexes Research Field Chemistry Physics » Chemical physics Physics » Biophysics
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inside cold clouds of gas and dust, but these clouds are messy, complex, and difficult to observe in full. A lot of my work is about building and analysing better maps of this material so that we can
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will allow the production of complex nucleoside conjugates of interest. This position is funded by the doctoral school of CY Cergy Paris University and will start in October 2026. Required skills
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Project Overview Abstract: Mobile robots have a unique set of design and implementation challenges. In designing these inherently complex systems decisions are made to enable operational function
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of effectiveness shifts when the objective is functional rather than purely hedonic. By leveraging AI to process the complexity of multi-modal data, this project aims to provide a robust, evidence-based toolkit