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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 8 days ago
analysis. The goal of this thesis is to advance causal AI for wireless networks by developing statistically reliable causal inference tools grounded in recent advances in simulation-aided inference and model
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Infrastructure? No Offer Description Grantor: European Union HORIZON Marie Sklodowska-Curie Action (MSCA) Joint Doctoral Network Project portal: https://www.eu4greenfielddata.eu/ Highlights Duration: 1 Sep, 2026
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, programming, and execution of behavioral, fMRI, EEG, and MEG studies, analysis and archiving of data collected from these studies, subject recruitment, and some administrative work. Depending on qualifications
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bank to support decision-making and researcher awareness Purpose of Role Forming part of the TReSI Network Project Team, the Business Analyst will provide business analysis skills and expertise
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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different methods of analysis used in the community, in particular linguistic probes (classifiers trained to predict certain linguistic properties from representations discovered by neural networks
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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Łukasiewicz Research Network - Industrial Chemistry InstituteInstytut Chemii Przemysłowej im. prof. Ignacego Mościckiego | Poland | 15 days ago
15 Jan 2026 Job Information Organisation/Company Łukasiewicz Research Network - Industrial Chemistry InstituteInstytut Chemii Przemysłowej im. prof. Ignacego Mościckiego Department Pharmaceutical
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal