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, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and/or high-temperature heat pumps based on power cycles. Design
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/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction
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Are you interested in active nanomaterials and can you contribute to the development of polymer-based nanomotors? Then the Interdisciplinary Nanoscience Center invites you to apply for a 1-2 year
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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institutes across Denmark, Greenland, Finland, Poland, and South Africa. The position will be based at DTU Aqua in Kgs. Lyngby, starting in February 2026. WaterColor investigates how climate-driven changes
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with
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circular plastics economy. Learn more about the project at https://inano.au.dk/about/research-centers-and-projects/enzync . Note that the current position is based at DTU, Lyngby. Further information may be
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fixed-term position for 24 months. The postdoc will be based at the Institute’s interdisciplinary Centre for Advanced Migration Studies (AMIS). We seek a strong candidate with a dynamic profile in the
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modelling and control for smart-grid-ready and decarbonized buildings. The position is available from October 1, 2025, or as soon as possible thereafter. The position is temporary for 2 years and is based
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self