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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
research activities in the field of signal processing, artificial intelligence and optimization of electrochemical systems for hydrogen production. The activity focuses on the development and validation
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and the core values that are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers
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is required, particularly in the development of digital solutions, data processing and integration, computational modelling, or optimization algorithms. Preference will be given to candidates with
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Description Postdoctoral Researcher in Mineral Processing, Battery Materials, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural
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hyperparameter optimization (HPO), as well as in designing and implementing AI+HPC+simulation workflows (experience with workflow managers for scientific applications is a plus) Experience in running large-scale
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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
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remains central to traditional broadcasting and streaming applications, where optimizing the bitrate-distortion trade-off, compatibility with existing standards, and implementation efficiency are essential
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for the business, research, and/or instructional functions of clients. Employee will oversee the migration of database structures from development and QA environments into the production environment, monitor and
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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 As a design-technology co-optimization (DTCO
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of aerospace components based on Digital Twin models. The goal is to create a virtual replica updated in real time using data from structural and environmental sensors, enabling continuous performance monitoring