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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr
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Salt Reactors (MSRs), operating at low pressure and high temperature, hold promises of economic and sustainable energy supply, including flexible fuel cycles and versatile heat applications. With
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A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources and open-source datasets. Opportunities to co-supervise
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1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Copenhagen Business
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance
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that demonstrate the ability or potential to produce high quality research outputs and publish in international journals A personal research plan which is consistent with the Department of Communication and