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influential financial institutions (e.g. network analysis). The successful candidate will also be responsible for building an agent-based model to study the behaviour of financial institutions and other market
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experience in the production and analysis of statistical information for the completion of reports. Experience with a variety of IT systems—including databases, Excel, email, and internet usage. Keyboard
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coordination of the work within the network. Conceptualization and implementation of information exchange and documentation formats within the network. Analysis of needs, challenges and upcoming expectations
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 7 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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15 Jan 2026 Job Information Organisation/Company Łukasiewicz Research Network - Industrial Chemistry Institute Department Pharmaceutical, Cosmetic Chemistry and Biotechnology Research Group Research
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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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Initial in vitro characterization of radioligands and assistance with further preclinical in vitro and in vivo experiments Analysis of experimental data and communication of results in work reports and
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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