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related field. Strong background in either plasma physics, computational modelling, or fusion energy. Experience with numerical simulation tools is an advantage. Excellent collaboration and communication
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research
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strong background in industrial engineering, computer science, software engineering, energy systems, robotics, or related disciplines Interest in AI, simulation, and optimization for energy and industrial
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levels. In this project, the PhD student will learn to understand and apply modern causal inference techniques such as target trial emulation, marginal structural models and G-computation to observational
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learning new things (must) • Good people skills (must) • Experience with fake news and political disinformation literature (optional) • Experience with cognitive neuroscience literature and tools (optional