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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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, covering diagnostics and sensing, but also therapeutic and anti-inflammatory strategies. Engineering and optimizing hybrid nanomaterials, including plasmonic materials and hybrid systems, to enable advanced
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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the design, development, and optimization of next-generation materials and structures across the following research categories: Materials Design, Reactive Systems, and High-Temperature Composites Development
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, user training, scheduling, and service coordination. Development of Standard Operating Procedures (SOPs) and quality-control workflows. Maintenance and troubleshooting of core instrumentation. Instrument
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area of power systems with special interest in power system controls, protection, optimization, and AI/ML applications in power and energy systems. Experience with experiments and hardware-in-the-loop is
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in Python and R for data analysis, modeling, and visualization. Proficiency in building efficient pipelines that use optimized software to process large datasets. Proficiency in supervised