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Apply now The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Random Graphs and Complex Networks
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, engineering, informatics, or a related field. Proven experience in energy system modeling, preferably with PyPSA or a similar framework. A strong understanding of energy system modeling and optimization
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research
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national ‘Gravitation programme’ relating to neuroimaging, is a member of the ERC Scientific Council and acts as a figurehead for Brains, Cognition and Behaviour, which is part of the Dutch National Research
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involving millions of individuals. Emerging methods using population-scale microdata now allow us to construct large-scale models of social opportunity structures, offering a promising new avenue for
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this sparked your interest? We invite you to apply for our fully funded, full-time, four-year PhD position within the Exposome-NL Gravitation programme external link . Your qualities You are a motivated and
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to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a