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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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during emergencies and is based on high-temperature PEM (HT-PEM) technology. The HT-PEM stacks operate at approximately 160 °C, offering simplified designs and operational advantages, including improved
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on developing energy-efficient, privacy-preserving IoT systems to enable proactive elderly care at home. More specifically the main responsibilities of the PhD candidate will include: Designing and deploying
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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: first, establishing a robust data foundation; second, designing a modular and open digital platform; and third, developing a predictive maintenance application as a proof of concept. Responsibilities and
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on determining vPvM chemicals in both Danish and Norwegian drinking water cases. The PhD scholarship is supported by a DTU Alliance stipend and the Danish Drinking water innovation partnership, InSa-Drikkevand
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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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of increasingly renewable energy systems. The ideal candidate will have experience or an interest in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and
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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