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Field
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a strong background in computer networking and distributed systems, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme
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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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9 Mar 2026 Job Information Organisation/Company CSIC Research Field Technology » Biotechnology Biological sciences » Biological engineering Mathematics » Applied mathematics Computer
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Taxonomy, phylogenetics, distribution, morphology of animals with special focus
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trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The doctoral student will be appointed by Sorbonne
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Institute of Systematics and Evolution of Animals of the Polish Academy of Sciences | Poland | 24 days ago
Scholarship Hours Per Week 16 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical and problem-solving abilities. You have knowledge of 5G
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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platform. Training the development digital-twin using real-time data from hardware available Electrical power level studies with developed digital twin to identify visible solutions for distribution electric