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– Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics
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, Economics, Mathematics and Economics, Business Administration, Political Science, or similar. Knowledge of/or strong interest in the causes and consequences of populations changes and formal demographic
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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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The Department of Civil and Mechanical Engineering of the Technical University of Denmark (DTU) has an open PhD position (3 years) on the topic of “Automated machine polishing of complex mould geometries”. The position is funded in the context of the project MADE React co-funded by the...
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systems Documented knowledge in power and energy markets preferably Nordic and European markets Documented knowledge in dynamic modelling of power system Knowledge of mathematical optimization. Knowledge
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of technological advancements, and we're excited to include more brilliant minds in our journey. See our publications and projects here . DTU Compute – Department of Mathematics and Computer Science – is
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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Job Description Are you a budding scientist eager to build a strong foundation for a successful research career? The DTU National Food Institute invites applications for a PhD scholarship focused on the optimization of bioactive compound extraction from various seaweeds for the development of...
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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modeling in LLMs with a focus on mapping these models to hardware. The research will address: Mathematical formulation and architecture of SSMs for language tasks Energy-efficient implementation in CMOS