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Field
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We are looking for a PhD student in Mineral Processing. As a PhD student, you will be part of an established international research group to work on a new research project, the optimization
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weight, but achieving the optimal balance between strength and ductility remains a major challenge. Why? Because the very mechanisms that make these alloys strong also introduce weak spots. During
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or PhD project: Develop and optimize microbial hydrolysis of feather and possibly other keratinous materials at different scale (100 mL, 3L, 42L, 100L). Perform vibrational spectroscopy analyses and
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of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting
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scalable, cost-effective processes for bulk chemical production of cycloalkanones PhD enrolment: Delft University of Technology DC9: Process development and optimization of dioxygenase catalysed
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networks also need to evolve, offering, e.g., ubiquitous connectivity and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
processes and waste generation points. - Characterization of industrial waste and wastewater. - Optimization of waste management and proposals for improvement. - Developing strategies based on the circular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 3 months ago
, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization strategies, and real-time analytical capabilities for diverse applications, including biosensing
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quantum chemistry to logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both