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-atlantique.fr) and Associate Prof. Christophe LOHR Keywords: Conversational Agent, Debate, Argumentation, Knowledge graph, Generative Neural Networks, Mental health preservation Where to apply Website https
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Knowledge of deep learning architectures, graph neural networks, or uncertainty quantification Familiarity with HPC environments Language Requirements: Applicants must demonstrate at least B2-level
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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research infrastructure for brain and brain-inspired research (https://ebrains.eu ). The position is related to workflow development and pilot analyses carried out as part of the UiO Hub-Node project
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the accuracy of data; perform calculations and prepare charts, graphs, and reports. Help in the general running of the lab, including receiving items, and maintaining lab organization. Become familiar with
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. It aims to develop a powerful network in the Swiss deep-tech ecosystem and bring it closer to ESA. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research
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departments and organizations. Coaches RA I and RA II, interns, Co Ops on basic lab techniques. Calculates, graphs and compiles data obtained, maintaining records and logs of work performed; uses computer to
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on either uncertainty quantification or how uncertainty should be expressed to users. https://unit.aist.go.jp/deihrd07/keiyaku_koubo/2025-airc_0043.html [Work content and job description] ・Develop uncertainty
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and graphs describing data analysis Troubleshoots the reporting database environment and reports Evaluates changes and updates to source production systems Provides technical expertise on data storage
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical