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the frame of the HE ERC StG project ”PROXIE / Perceptual Realities: Optimizing XR through Perceptually-Informed Experiences (GA nº: 101220555 Positions Profile: Bachelor's degree in Computer Engineering or
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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems
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The project's main tasks focus on the development and optimization of new retroelement-based genome engineering tools; the design, execution, and analysis of molecular and cellular biology experiments; and the
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candidate will be expected to: Develop and optimize processes for the modification and nanostructuring of glass and optical material surfaces. Investigate relationships between fabrication parameters, surface
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experience in previous research tasks at a university or private company (punctuation: 10) Item 03: Previous experience in chemical synthesis, separation processes, and engineering process optimization
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the laboratory and design experiments, optimize microfluidic workflows and troubleshoot complex experimental challenges. Strong and fluent written and verbal communication skills in English (minimum B2 level). A
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cuantitativo. Capacidad para trabajar con grandes conjuntos de datos y entornos computacionales. / Experience in data science, data management and optimization, and machine learning and AI techniques. Strong
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function approximation and optimal control. ● Contribute to writing scientific papers on the project results and assist in disseminating these results at conferences and workshops. The selected candidate may
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methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing
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optimization of sample-preparation workflows for high-resolution spatial metabolomics (MALDI mass spectrometry imaging), with a particular focus on matrix sublimation. Support the implementation of on-tissue MS