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Field
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
broad research areas in metallic and ceramic materials (high-temperature intermetallic, space materials, high-strength steels, porous ceramic materials, and materials intended for energy recovery
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technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and
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the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing
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for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by the Research Council
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28177 PhD position (m/w/d) Stellenanzeige merken Stellenanzeige teilen starting at the earliest
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https://tucloud.tuwien.ac.at/index.php/s/mZ7PjG7w9JKGcZ4 Requirements Research FieldChemistry » Applied chemistryEducation LevelMaster Degree or equivalent Skills/Qualifications Your role Depending
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enables patterning the smallest, smartest, and most energy-efficient features on chips. The required 13.5-nm radiation is generated from plasma that is produced from tiny tin droplets that are heated by
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project focuses on meeting demands on bandwidth, reliability, energy efficiency, and sustainability, as well as extended coverage from underwater, terrestrial, and aerial network components, and leverages
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nutrient cycles and producing renewable energy and nutrient-rich biofertilizers. Biogas production also contributes to increased preparedness and self-sufficiency. The biogas process is driven by complex
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization