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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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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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position involves developing and combining innovative tools that effectively simulate language evolution de novo and in silico in order to shed light on the pressures that drive and shape language evolution
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology and ecology. To achieve this, you will collect data from databases, reviews
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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languages, allowing you to gain valuable experience with various development tools and build your skills at multiple levels. As part of a research organisation, we encourage technical innovation and offer
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology, and ecology. To achieve this, you will collect data from databases, reviews
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the other SPINES PhD projects on (a) ‘Infrastructure Managers as Institutional Entrepreneurs’ (University of Groningen), and (b) ‘Modelling Shared Pathways and Tipping Dynamics’ (University of Twente
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a