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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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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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, 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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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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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 | 17 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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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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About the job: We are recruiting an enthusiastic, highly motivated individual with proven business and technical knowledge to lead business analysis, planning and reporting activities within AMIC
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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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the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https