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the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and
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predictive accuracy. As part of the project, the successful candidate will receive training in advanced experimental techniques and data analysis, collaborate with world-leading experts in materials science
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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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approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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Several types of polymeric materials undergo rapid degradation under both storage and use, unless antioxidants and stabilisers are added to suppress undesirable reactions. This project is co-funded
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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candidate will be part of the AffectiveBrains research group and Dr. Marie Eikemo’s lab (Principal investigator and supervisor). The employment period can be considered to be up to 4 years given addition
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain