11 software-engineering-model-driven-engineering-phd-position "Intelligent Systems Group" positions
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infrastructure, including simulation, software, experimental, or laboratory resources. Qualifications and merits To qualify for this position, you should have: A doctoral degree in Electrical Engineering
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successful applicant has a PhD degree and background in mechanical engineering or similar. Research experience on photonics and affinity with data-driven methods are a pre. Good spoken and written
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learning-enabled radio localization and sensing. This profile focuses on developing and applying model-based and learning-based methods for trustworthy and intelligent wireless localization, sensing, and
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– Sustainable and AI-Driven Software Engineering Group at the SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. SustainAI is part of the Section of Artificial Intelligence
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- Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems PhD Fellowship/Scholarship in Intelligent Heat Stress Management in Cattle Barn Using an AI Agent
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professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Artificial Intelligence, Learning, and Intelligent Systems group
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: Exploration and Utilization Embodied Intelligence for Biomimetic Navigation Engineering-Grade In-Space Intelligent Fabrication Other Fundamental and Frontier Interdisciplinary Areas Mathematics
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profiling themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a
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robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems group in the NLR
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 18 days ago
sufficiently general to also apply to other domains, such as autonomous vehicles operating in off-road settings. You will join the Intelligent Vehicles group within the Department of Cognitive Robotics at TU