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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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This PhD position is part of the ErUM-Data project CmarT, which aims to develop a novel multi-scale imaging approach at synchrotron radiation facilities, particularly PETRA III at DESY. Biological
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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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, 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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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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, healthcare workforce shortages, housing issues, and transportation challenges. LIRCH work closely with local communities and there is an expectation that students will spend dedicated time within LIRCH and our
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that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities
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. Specifically, the Doctorate Initial level will develop R&D activities in the scope of Associate Laboratory in Chemical Engineering ALiCE - LA/P/0045/2020, with DOI 10.54499/LA/P/0045/2020 (https://doi.org
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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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aims to develop a robust multi-robot localization framework for dynamic, unstructured, GPS-denied environments. Your tasks You will conduct high quality PhD research with unique possibilities to perform