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strong interest in systems and control, model predictive control, and energy systems. Some experience in basic software engineering and implementation of algorithms in real-world experiments or industrial
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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. (phenomenological) models You are self-driven and able to work independently but also happy to contribute to a team effort in an enthusiastic group of scientists and engineers working on a common theme. You are
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Researcher (R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 5 Apr 2026 - 23:00 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud
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for converged Wireless-opTical cOnfiguratioNs”. The research will cover three key pillars: Artificial-Intelligence (AI)-driven models in the access domain, focusing on CF technology to efficiently acquire Channel
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of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud-native 5G/6G networks. The project will explore the mechanisms
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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: Atmospheric AI Modeling and Forecasting This PhD position focuses on developing AI models that integrate real-time satellite communication signals, GNSS -based atmospheric observations, and numerical weather