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into cross-seeding between microbiome-borne amyloidogenic proteins and human proteins implicated in neurodegenerative disea Your responsibilities: The doctoral candidate will perform computational analysis
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: Socio-spatial implications of transformative practices”) is a Doctoral Network funded by Marie Skłodowska-Curie Actions (Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative
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(Horizon Europe Programme). TRANSFORM investigates the efficacy of transformative practices as mechanisms for initiating and consolidating transitions in urban mobility cultures, and analyses the resulting
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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program at the University of Luxembourg•Work location: Belval (Luxembourg)•Deadline: 30th June 2025Project description INSPIRATIONAir pollution is continuing to rise. It harms human health, crops and
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energy system that is clean, reliable, and resilient to the challenges of the future. Due to its high-cost, green hydrogen currently constitutes less than 0.1 % of the total hydrogen produced and strong
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Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based