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programme Reference Number AE2025-0512 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0512
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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, decrease cost, and improve clinical quality performance. Utilizes and optimizes cost-saving software (such as Optime, Avant Garde, etc) in support of efficiency in work processes, regulatory compliance, and
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and performance optimization. The position is specifically designed for a candidate combining hands-on experimental competence, Python-based simulation and data analysis expertise, and experience in
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
Provost, Office of Institutional Research and Decision Support, and provides strategic guidance and technical support to optimize system usage. System Management & Optimization Manage the ongoing
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, registration, administrative and/or billing activities to contribute to an optimal customer service experience for patients and efficient patient flow for physicians within the Department. Job Responsibilities
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: For applications requiring short packets / low latency, it is important to obtain tight bounds for the optimal secrecy rate in finite blocklength. Building on the theoretical breakthrough by Polyanskiy
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental