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the IDS with in-network access control and policy enforcement. The role also involves collaboration with AI researchers integrating the in-network IDS with endpoint AI detection and agentic response models
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• PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline. Skills: • Strong background in probability theory, stochastic
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verified reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine
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. Qualifications and personal qualities: Applicants must hold a PhD or equivalent doctoral degree within atmospheric physics, meteorology, climate science or machine learning. PhD-students may apply if defence of
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and proteomic profiling. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within neurobiology/ tumor biology, or equivalent in a relevant field of
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to a Norwegian doctoral degree (PhD) within Marine engineering, applied mechanics, physics, computer science or similar fields; or must have submitted his/her doctoral thesis for assessment prior
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30th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in climate data analysis and machine learning emulation of hydrological models Apply for this job See
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. The work will involve both hardware and software development activities, including the development of hyperspectral optical instruments, optical system integration, instrument control software, data
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subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD Research Fellow position The fellowship will be for a period of 3
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Nov 2026 - 17:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date