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background in Intelligence, Security, or a similar degree with an academic level equivalent to a two-year master's degree and with an interest (and ideally some experience) in Agent-based Modelling, Simulation
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
bioinformatics tools, validated gene editing protocols, glycoengineered cell libraries, 3D organ and tissue models, and design matrices for the recombinant production of protein-therapeutics. CGR also hosts
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, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate including all examination results. Information on experience with teaching, dissemination
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate including all examination results
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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interventions for newborn piglets. The candidate should preferably have a veterinary background or research experience in animal models of neonatology. The successful candidate will be affiliated to the research
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience