95 optimization-nonlinear-functions PhD positions at Technical University of Denmark in Denmark
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Job Description Are you passionate about tackling the impact of membrane solutions and their production and use impacts? At the Technical University of Denmark (DTU), we are offering a fully funded
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Job Description Are you passionate about tackling the impact of membrane solutions and their production and use impacts? At the Technical University of Denmark (DTU), we are offering a fully funded
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Job Description The f -elements of the periodic table play an essential role in numerous technologies, including catalysts, magnets, and photonic devices. Their distinct characteristics
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, initially persists but is eventually degraded by photochemistry and microbial enzymes. This project seeks to translate metagenomic information to enzymatic function and biogeochemical impacts in marine carbon
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for Quantitative Sustainability Assessment of the Department of Environmental and Resource Engineering (DTU Sustain). The section spearheads the development of sustainability assessment methods. You will become part
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that increase and decrease the attractiveness of moving around the urban environment with the purpose of evaluating how urban design should be improved, and which amenities are important for ensuring sustainable
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of Civil and Mechanical Engineering , Technical University of Denmark is seeking candidate for one PhD position to work on corrosion failure mechanisms of Power Electronic components under humidity and gas
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following research areas: multi-modal input, continual learning, and adaptive methods for task planning and execution in real-world environments with autonomous agents. You will be a vital part of the Visual
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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mass spectrometry and machine learning now allow us to unravel this “dark proteome.” This position aims to use state-of-the-art AI-guided proteomics and systems biology approaches to map protease