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the Department of Social Sciences (DSOC). The CCY is a multidisciplinary group investigating youth development and social inequalities, with strong connections to national and international research institutes and
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also supports the development of AI-enabled network orchestration, as well as digital-twin-assisted planning for future IoT and 6G systems. You will be mainly in charge of: • Contributing to the design
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on Li-ion microbatteries. The project is part of a large R&D framework between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context
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between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context, the main objective of the project in which the postdoctoral candidate will be
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, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical
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). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as
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. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented perception systems and will be responsible
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials