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student will be mainly involved in developing the activities to achieve specific objectives of the project: To develop and optimize respiratory organoids derived from relevant host/reservoir animal species
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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be
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. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome
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collaboration among children with diverse cognitive and sensory profiles. The project’s main objective is not the development of a single intervention, but the design and validation of new methodologies
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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. Treiber, the existing “Intelligent Agent Model” (IAM) for directional disordered traffic flow will be generalized to meet the above objectives (working name IAM2d). The main task is to simulate and
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significant challenge. The primary objective of this PhD project is to elucidate the molecular mechanisms by which AMPK regulates physiological processes in metabolic tissues through specific post-translational
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available for onsite translation, how the axonal and dendritic RNA landscapes are locally organized and regulated to integrate external local signals is to date unclear. The objective of the PhD project will
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prediction, signal tracking, fluid dynamics, and space exploration. Advancing Signal Modelling with Physics-Informed Neural Networks This project aims to develop Physics Informed Neural Networks (PINNs