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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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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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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 | 3 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
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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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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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application layer firewalls. Experience architecting enterprise networks. Security design and operations experience including HIPPA/FERPA/PCI compliance and necessary application/protocol analysis. MPLS VRF
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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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analysis of power cables for future HVDC networks, including experience with industrial case studies. Strong modeling skills across time and frequency domains; comfort with a wide range of numerical and