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experience with genomic data analysis on a high-performance computing cluster, along with strong communication skills, is desirable. Profile Research interest in statistical genomics, computational biology
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fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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design new methods for producing hydrogen from water that are not only compatible with sustainable heat sources (e.g., concentrated solar radiation) but also scalable by volume. The performance
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. Bonus points: Published peer-reviewed articles on project-related topics in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance
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infrastructure systems, including transportation, water, electricity and gas ensure the functioning of society. Events that affect the functioning of these systems can have far-reaching consequences, which depend
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes
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carrying partially unknown loads. This uncertainty results in conservative estimates of braking rates and dynamic performance, reducing efficiency both at the individual train level and across the network
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and a computational design and robotic WAAM (wire arc additive manufacturing) fabrication framework for facilitating the reuse of end-of-life steel sections. This will be achieved by tasks related to (i
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experts in the field Access to world-class research facilities and computational resources Opportunities for national and international conferences and workshops Support for publishing in high-impact