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associate positions. Dr. Wei Peng's group (www.weipengenergy.com ) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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Models for Multi-Modal Reasoning This project explores the integration of graph-based foundation models (e.g., knowledge graphs) with large language models (LLMs) to build AI systems capable of reasoning
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skills and curiosity about complex systems. Position Overview You will design and implement new computational and statistical models to reverse-engineer causal networks from noisy, high-dimensional, multi
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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epidemiology to understand RNA metabolism. Perform stochastic simulations to analyze model behaviors. Fit the model parameters to empirical RNA expression and RNA-protein binding data. Predict outcomes
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ Plant leaves exhibit a staggering diversity in shape, size and
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pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will explore the cell biology