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Field
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quantum systems and quantum networking theory. Experience with numerical modeling of open photonic quantum systems. Experience with scientific computing using Python and/or Julia. Desired qualifications
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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. select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based
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Magazine, 2024. "Traffic Prediction with Shared Causal Inference in ORAN Computing Continuum," IEEE Global Communications Conference (Globecom), 2024. "Cascade Network Stability of Synchronized Traffic Load