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, analyse and interpret new lake sediment records from key refugial localities covering the Last Glacial Maximum. This will allow a revised assessment of the survival of temperate tree populations in Europe
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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approaches to diverse datasets with longitudinal multi-omics data from both local and international collaborations. You will be part of a collaborative research environment with close interactions with
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localities covering the Last Glacial Maximum. This will allow a revised assessment of the survival of temperate tree populations in Europe and their response to major climatic variations during and after
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and