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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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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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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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(e.g. Bayesian Statistics, HMMs, AI, advanced programming in Python) in small classes of max. 10 participants. Lecture series: QMB students suggest, invite, and host external speakers at this event
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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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semesters Beginning Winter semester Application deadline Please check the HDS PhD website in autumn 2024 for updated information on 2025 HDS PhD Programme admissions. The 2025 HDS PhD cohort will begin their
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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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Application deadline Middle of January for the following winter semester starting on 1 October Please check our website for updates . Tuition fees per semester in EUR None Combined Master's degree / PhD
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Programme duration 6 semesters Beginning Other Application deadline Application track I (joint call): updated information for the next call will be announced here in due time. Application track II (open
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
scenarios for Hamburg and Heide #investigate potential societal, infrastructural, and/or environmental conditions compounding with the heatwave #interaction with stakeholders to update the stress-test