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information may be obtained from Associate Professor Fatemeh Ajalloueian, faaj@dtu.dk , and Postdoc Gohar Soufi, gohsoo@dtu.dk . You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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to the high-temperature PEMFC to produce warm water for practical applications (e.g., heating and washing) in disaster areas. Investigate the thermal dynamics and overall performance of the HT-PEMFC stack and system under
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than RGB will be actively researched. Exploring 3D canopy modelling and plant growth dynamics for digital twin integration. Self-supervised learning will generate multi-modal agricultural pre-trained AI
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for sustainable production of food by applying your microengineering and material science skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the SOLARSPOON
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to work independently within a dynamic research environment Willingness to collaborate with other research groups Excellent skills in written and spoken English You should strive for scientific excellence
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special focus on the possibilities offered by dynamically controlled cavities and extreme light confinement. You will have the opportunity to co-supervise BSc and MSc students. The project is funded by
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Applied Thermodynamics, Transport Processes and Mathematical Modelling. The center has recently entered dynamically into Biorefinery Conversions research field. The focus of Biorefinery Conversions research
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-edge motion planning and control for next-generation autonomous underwater vehicles (AUVs). As part of a dynamic, interdisciplinary team, you will contribute to the development of an innovative AUV
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campus in Risø, just 30 minutes from Copenhagen, you will evolve within a dynamic, inclusive, and collaborative research environment, immersed in both academic excellence and real-world industry relevance