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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
. Your mission and contribution are to: Design, implement, and optimize plasma-based thin film deposition processes Develop and operate a dual PECVD–reactive magnetron sputtering deposition strategy within
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio frequency
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analysis and geomechanics Interest in uncertainty quantification/sensitivity analysis/optimization Proactive, independent work ethic and ability to work effectively in a multidisciplinary environment
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Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description position required for the optimal conduct
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and international projects, · collaboration with application developers
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performance and biological outcomes. Within the research team, your main responsibilities will be: Developing and characterizing nanozymes (and related functional nanomaterials) for biomedical applications
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: The PhD Researcher will be responsible for the development of sustainable inks based on metal oxide nanostructures and two-dimensional (2D) materials, as well as for the optimization of the corresponding
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/funding reference: PID2021-124030NB-C31 Job title: Optimization, learning, and cooperation with applications in logistics Research line / Scientific-technical services: Optimization in transportation and