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opportunity for a full-time Epic Senior Analyst - Optime/Anesthesia. The Epic Senior Analyst - Optime/Anesthesia initiates the implementation, builds, and modifies complex applications, and collaborates with
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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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precise optimisation of their stability and structure, both of which play a crucial role in their functionality and efficacy. While mRNA technology holds immense potential, optimizing sequences remains a
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methods and design strategies to optimize polarization purity in active array antennas. By addressing these challenges, the candidate will contribute to the next generation of high-performance, active
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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Research Scientist in Applied Mathematics, Modeling, and Optimization to contribute to the interdisciplinary Wicked Problems (WiP) framework in the undergraduate program. This role integrates mathematical
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Position Summary: The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a Research Scientist in Applied Mathematics, Modeling, and Optimization
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3 Oct 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Physics Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Country Spain Application Deadline 13 Oct 2025 -...
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& Optimization. The Executive Director plays a crucial role in driving strategic decisions, identifying growth opportunities, and enhancing operational efficiency through data-driven insights and innovative models