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project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and materials data bases together with novel AI
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Infrastructure? No Offer Description Mission: Study of cell adhesion and tissue shape change with theoretical and computational models. Functions to be developed: Develop theoretical models. Implement these models
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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offer: Support in preparing your application. Scientific supervision by senior researchers with expertise in ageing biology, behavioural analytics, neurogenetics and Drosophila melanogaster as a model for
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. Skills in modelling and analysis using machine learning tools. Experience in environmental and economic assessment and in feasibility and replicability studies. Scientific production (Q1) and technical
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changes in light, environment and structure switch the function of photoactive systems on and off. We obtain structural information of the different steps of such molecular switches by developing and
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. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and
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Research area or group: Advanced Electron Nanoscopy (GAeN) Group Description of Group/Project: We are looking for a skilled Postdoctoral Researcher to support advanced characterization efforts within
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researcher will lead, together with Dr. Daniel Montoya and other project members, the development of agroecological models that simulate crop rotations in space and time under a scenario of climate change
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of twisted quantum materials and two-dimensional correlated electron systems. This project covers a wide range of areas, including advanced van der Waals materials, moire quantum matter, superconductivity