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to optimize fluid flow, heat transfer, and current distribution within the electrolyzer. • Model key parameters such as overpotential, gas diffusion, ion transport, and pressure drop to improve overall
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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Engaging in scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a
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Requirements: PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines. Ability to work independently and as part of a team with strong
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
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and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research experience in artificial intelligence, software engineering
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supervise PhD and undergraduate student projects as required. Work closely with an interdisciplinary team members from other research clusters. Job Requirements: PhD in Electrical and Electronic Engineering
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advanced manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. The School of Mechanical and Aerospace Engineering (MAE) invites applications
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. Write the report for the project progress. Work with research assistant for the prototype. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Engineering / Science, or related field