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and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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Internal Number: JR89928 Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot
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with good understanding of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high
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framework on how to build up a generic framework to use learning-assisted approach to solve various optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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project. The overarching aim of this project is in the development of new knowledge and a new framework to facilitate the optimal design and life-long adaptation of civil infrastructure systems
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containers for optimized mushroom cultivation. This interdisciplinary role involves hands-on laboratory work, experimental design, data analysis, and potential contributions to patentable innovations
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is expected, because large software toolboxes are used and further developed. The working language at the institute is English. Experience with targeted and optimized brain stimulation and with