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spatial planning. Translate scientific results, in collaboration with stakeholders, into clear, engaging visualizations and communication materials that support understanding and inform evidence-based
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precision machining, tools are prematurely discarded to avoid the risk of costly non-conformities. This creates a large loss of value of strategically valuable raw materials and waste of energy related
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candidate must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two
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to contribute to a collaborative, interdisciplinary research environment Are eager to learn and explore new ideas at the intersection of ML and optimization Can program efficiently in one or more languages
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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samples, by the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main
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Job Description Biobased materials offer a sustainable alternative to traditional fossil-based resources by reducing dependence on limited petroleum supplies and lowering carbon emissions