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Field
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largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing applications. As AI models continue to increase in size and computational complexity
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problems, recognise gaps in existing regulation and make use of signals from outside established institutions? Regulatory tools and processes: How can research access, public procurement, prototyping and AI
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, optics, the design and fabrication of photonic integrated circuits (PICs) systems to exploiting optical linear/non-linear signal processing to unlock fiber capacity and relevant higher layer protocols
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to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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Research Network – Krakow Institute of Technology Position: PhD Student – Scholarship Holder in the FIRST TEAM FENG Project Łukasiewicz Research Network – Krakow Institute of Technology announces an open
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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and acquire those skills and able to deploy them during the course of the project. She or he has a demonstrable interest in optics and electromagnetic scattering, signal processing, and mathematics, as
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, signal processing, or data-driven security analysis. Previous research or experimental experience in hardware/embedded-system security, demonstrated through a thesis, project, publication, or relevant work
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in wireless communications, communication theory, signal processing, or RF systems. Aerospace Engineering, especially candidates with experience in LEO satellites, mega-constellations, orbital systems