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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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positions in 2026 focussing on nanoparticle catalysis using advanced operando electron microscopy. If you thrive in a collaborative, cutting-edge setting and want to make a global impact, we want to hear from
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methods (e.g. workshops, digital sprints), and ethnographic fieldwork. You will be breaking new ground within STS and Valuation Studies in a larger research team led by Principal Investigator, Professor
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that accounts for ion pairing in a consistent manner Apply the developed equation of state for different applications, including liquid-liquid equilibria, where a robust and sophisticated algorithm may need to be
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mutiple Postdoc positions in 2026 focussing on nanoparticle catalysis using advanced operando electron microscopy. If you thrive in a collaborative, cutting-edge setting and want to make a global impact, we
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Job Description Are you a skilled and field-ready researcher with a passion for marine monitoring using many different methods and techniques ranging from diver observations to integrating remote
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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, using e.g. DFT or the finite element method (FEM) calculate the quantum dynamics of an emitter coupled to phonons with an open-quantum-system approach and using state-of-the-art numerical techniques
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qualifications You will lead the computational and AI-driven aspects of the project. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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-2026 or as soon as possible thereafter. The position will be available for a 2-year period. You will be part of a research environment focusing on soil management and soil fertility in the context