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the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen , Norway. Supervisors: Professor Stafford Lightman , Dr Thomas Upton Location: University of Bristol
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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 | 13 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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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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individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service
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, UK. The position is funded by the European Commission through the MSCA Doctoral Network Endotrain (Grant No: 101227148) and coordinated by the University of Bergen, Norway. Supervisors: Dr Zuowei Wang
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with