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1 Sep 2026 Job Information Organisation/Company Corify Care Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Brussels) Country Spain Type of Contract Temporary Job...
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Siri Pedersen 9th August 2026 Languages English Norsk Bokmål English English PhD Fellowship in Data-Driven Optimization of Multi-Energy Systems Apply for this job See advertisement Job description
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
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include, but is not limited to, UHPC material design and optimization, durability testing under harsh environmental conditions, fabrication and full-scale structural testing of sleepers under static and
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and validate railway sleepers made with UHPC. The work may include, but is not limited to, UHPC material design and optimization, durability testing under harsh environmental conditions, fabrication and
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden the state of the art in the area of optimization applied to the energy area; - develop
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surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing
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to be achieved: The work plan falls within the final phase of the Koachy project, focusing on the scientific validation, optimization, and demonstration of the intelligent models developed throughout