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to address critical issues related to the reliability and quality of large language models (LLMs) such as ChatGPT and Gemini. These models are increasingly used in essential sectors like healthcare, education
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through a collective labor agreement (CAO) choice model. As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving
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November 2025 or as soon as possible thereafter. This PhD project aims to explore how emerging datasets could provide value to the UK’s insurance industry through a combination of data analytics, modelling
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conditions. The specific aims are: To optimise large-scale production of a high-value carotenoid compound that is naturally released in nanoparticle form by a marine alga. Develop a mechanistic understanding
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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operational. Title: Quantum Nanodiamonds with Group-IV Color Centers for Sensing in Extreme Conditions Keywords: quantum technologies, nanodiamonds, color centers, CVD synthesis, matter, optics, high-pressure
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instrument that will allow the analysis of mesoscale thermal processes under highly controlled experimental conditions in order to understand the fundamental nature of heat transport and to measure the thermal
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? To what extent and how do features of the collaborative process have to account for existing citizen initiatives? How can we integrate models of social influence and “diffusion on networks” with models