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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
Call for the position of the Innovation Technology Developer - in the field of energy consumption optimization in HPC”. Where to apply Website https://jobrxiv.org/job/innovation-technology-developer-in
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
state “Open Call for the position of the Innovation Technology Developer - in the field of energy consumption optimization in HPC”. Where to apply E-mail petra.brozova@vsb.cz Requirements Additional
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these standards portable and accessible. Based on the applicant's experience, the specific topic will be assigned to one of the following areas: - quantum Hall impedance standard - measurement optimization and
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techniques optimized for accuracy, robustness, and low computational requirements to support real-time deployment. In addition to the sensing and data processing components, the project also addresses
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optimization of advanced reconstruction and control algorithms, combining numerical modeling, inverse problem techniques, and AI-driven approaches, together with experimental validation to improve imaging
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on the design, optimization, analytical and numerical evaluation of the performance and practical implementation of novel linear and non-linear backscatter-based identification and sensing transponders and
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, the precision and temperature stability of the new sensor/actuator will be optimized. Other possible projects include actuators for electric drives and sensors of electric currents, speed, for non-destructive
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surface functionalization, incorporating antibacterial peptides and other active compounds. Emphasis will be placed on tailoring physicochemical properties to optimize antibacterial performance and
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, optimizing complexity to scale with network demands. ● c) Optimizing key reconciliation protocols: Efforts will focus on maximizing throughput and minimizing key discard rates by fine-tuning reconciliation
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design of metamaterials for complex loading conditions. The overall objective is to develop an AI-enhanced framework for the rapid design and optimization of next-generation metamaterials, targeting