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career development. The career development plan will be adjusted to DC’s personal circumstances that may arise and updated along the Ph.D. programme.DC6 – Few-Mode Multi-Core Fiber for SDMSupervisors: Dr
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, R) Expertise in machine learning, Bayesian statistics is beneficial Capacity for interdisciplinary teamwork and excellent communication skills Ability to communicate in English fluently
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such as autoregressive and eigensystem realization techniques will be used for continuous condition assess-ment and model updating. Additionally, cloud-based data handling and integration with regional
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Your Job: Reinforcement Learning (RL) is a versatile and powerful tool for control, but often data-inefficient, requiring numerous updates and non-local information such as replay buffers and batch
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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Menéndez Benito). The project aims to contribute to our understanding of how linguistic devices update the Common Ground by carrying out a systematic description and analysis of the evidential uses of verbal
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analyses, an area in which our group has a track record of success (see recent publications below). The TARGET-AI project seeks to apply leading-edge techniques from deep learning and Bayesian modeling
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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2025 for updated information on 2026 HDS PhD programme admissions. The application period typically runs from mid-January through the end of February. The 2026 HDS PhD cohort will begin their studies