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Sciences (CALS) who drives planning, operations, organizational change, and project execution in support of UI’s strategic plan pillar: Optimize Operational Excellence. The individual leads initiatives
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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 13 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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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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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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, 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