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(WP4), led by IEM, focuses on the design, modeling, and optimization of a laboratory-scale EC-MF pilot using promising electrocatalytic materials synthesized in WP1.3. The postdoctoral researcher will
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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integration of web applications and reporting tools. The role focuses on process optimization, data governance, and delivering actionable insights through dashboards and analytics. Collaboration with cross
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, and how signaling pathways integrate with physical constraints to ensure an optimal balance between lipid storage and energy production. By combining quantitative biophysics, advanced imaging, and
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this role, you will shape how campus buildings are controlled, monitored, and optimized—helping create efficient, resilient, and responsive facilities that align with Purdue’s mission of innovation and impact
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 19 days ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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system housing the two arms of the PET-SCAN system - Develop a simulation tool to optimize the prototype structure - Develop software tools for data acquisition and processing This work is being carried
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Posting Summary Logo Posting Number STA00009PO26 Job Family Information Technology Job Function IT Business Systems Analysis USC Market Title IT Business Analyst Link to USC Market Title https
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Computing Resource (AICR). This hands-on role will be responsible for deploying, maintaining, and optimizing HPC clusters, storage systems, and networking for AI/ML workloads. Join a collaborative, fast-paced