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are part of a broader research program on the aging brain in complex cognitive contexts, focusing on risky decision-making and spatial navigation. The first project investigates how the aging brain
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and
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, penalised structural models, and large language models (LLMs), to investigate associations between disease outcomes and complex, high-dimensional, time-varying exposure data. You will integrate rich exposome
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computer programming experience in data analysis As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is
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interest in complex data analysis. Additionally, for Position #2 – modelling, you also possess: An MSc degree in computational biology or applied mathematics with an interest in biological systems Or: An MSc
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, are you fluent in Bengali? Then this PhD position as part of the interdisciplinary FLASH project might be for you. The problems of livelihoods in peri-urban areas are complex and multifaceted, shaped by
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
for rapid and resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding technological
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial