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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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of Excellence. We are pleased to offer a PhD position in the field of silicon-based quantum computing at nanoGUNE. The project will focus on developing scalable quantum computing hardware based on silicon
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the job pack. Qualifications and Skills required You should have a good honours degree (normally 2:1 or above) in Electrical / Electronic Engineering, Computer Science, Quantum Technology, Communications
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-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they currently lack reliable uncertainty estimates, limiting error
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communications Quantum communications Computing & Networking: QuMIMO, Quantum Error Correction, Multi-partite systems, Q Network Coding, HQCNN - Hybrid Quantum-Classical Neural Networks Security & Logic: QRL
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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Assistant will work with an increasing degree of autonomy as skills and experience develop. The Research Assistant will contribute to a specialised research program in quantum information theory and quantum
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Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number FENG.02.03-IP.05-0021/24 Is the Job related to staff position within a