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individuals and as communities comprising larger ecosystems. Traits are also often used as parameters in computer models of terrestrial ecosystems and even the entire Earth System (such as climate models used
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translational science, leveraging molecular, cellular, and animal model systems as well as patient-derived samples to uncover mechanisms of disease heterogeneity and progression and identify novel therapeutic
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Intelligence (AI) models for monitoring and analyzing complex processes, with particular attention to compliance with transparency, interpretability, and reliability requirements. In this context, a systematic
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Project summary: This PhD develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, supporting stakeholders in constructing Causal Loop Diagrams of complex socio
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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| FUNCTIONS The assignee of this research will investigate the design and implementation of a novel software platform aimed at estimating the expected computational costs of deploying different AI models
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Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods