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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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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The global energy
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Fudan University, Department of Physics/Atom Quantum Computing Lab Position ID: Fudan University-Department of Physics/Atom Quantum Computing Lab-PD [#29908] Position Title: Position Type
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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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simulation and optimization of PDE-based problems involving uncertainties or stochastic components. We are looking for an internationally recognized individual who is a leader in the field of Numerical