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for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts with backgrounds in physics, chemistry, materials, and computer
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about the network as a whole, its scientific content, and the application and selection process here . All positions are fully funded, with very competitive salaries. More information on funding from
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levels engage in collaboration with industry and authorities. investigate sensory properties and their correlations to chemical, physical or other relevant properties/conditions use multivariate
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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, embedded and cyber-physical systems, data-intensive systems, AI, planning, networks, programming theory, and security. Applications span areas such as energy, transport, health and water. The department
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characteristics, assessments committees’ configuration and process) and 2) the resulting outputs for applicants depending on grant decisions. The research will leverage artificial intelligence (AI) to optimize
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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characteristics are intricately linked to the electronic configurations of the f -element ions, and any modifications in these configurations result in dramatic changes in their physical and chemical properties
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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
techno-economic evaluation and proven capabilities in the evaluation and modeling of resource recovery and valorization pathways. The role also requires experience in process and supply chain design
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deep understanding of techno-economic evaluation and proven capabilities in the evaluation and modeling of resource recovery and valorization pathways. The role also requires experience in process and