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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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Planning focuses on spatial development processes on local, regional and international scales. Faculty endeavor to understanding transformation processes and in developing recommendations for sustainable
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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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to collaborative research activities within the team. • Supporting or leading the preparation and development of new project proposals. • Supporting knowledge transfer and demonstration of developed solutions in
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foundation models and HPC-enabled model deployment, ensuring that methodological advances are developed with direct translational and scalability considerations. Responsabilities: Lead the development
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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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(IoT) devices, for producing information on the status of natural resources. Our research and development activities focus on the synergistic use, processing, and interpretation of data from multiple
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Institute for Lifespan Development, Family and Culture within the Department of Behavioral and Cognitive Sciences. Your role Your responsibilities: Design, implement and analyse a daily diary survey across a