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and their application in quantum information science, with an emphasis on quantum networks. Funded by MCIU/AEI/ 10.13039/501100011033 and by the European Union within the QuantERA II Programme that has
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: This postdoctoral position will contribute to the development of scalable and intelligent communication systems for large-scale computing platforms. By optimizing network interconnects and communication strategies
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University of Texas Southwestern Medical Center | Dallas, Texas | United States | about 10 hours ago
, United States of America [map ] Subject Areas: Inverse Problems; Medical image reconstruction; Radiotherapy plan optimization Appl Deadline: 2025/06/20 11:59PM (posted 2024/06/24) Position Description: Apply Position
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, Computer Science, Experimental Subatomic Physics, or related fields. Relevant research experience in firmware programming (e.g. with VHDL) and resources optimization for specific FPGA architectures
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to enhance optimization algorithms, help practitioners select the most effective
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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to the above requirements • Strong background in optimization and partial differential equations • Strong background in numerical mathematics and computing • Machine learning skills are welcome • English skills
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Job Description The Opportunity The Department of Aerospace Engineering, at the Daytona Beach Campus seeks a post-doctoral researcher to develop novel mathematical and computational tools
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of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software