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the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP-2026-598 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD research
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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PhD Scholarship Two projects are available to analyse observations of water world candidates made with the James Webb Space Telescope, and to develop climate simulations to explore atmospheric
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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4th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Digital Sovereignty Apply for this job See advertisement This is NTNU NTNU