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focused on power electronics and smart electrification. The project focuses on supporting and collaborating with small and medium-sized enterprises. An important part is to build and evaluate test systems
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the grid stability and explore potential solutions based on flexibility from the renewable generation and the demand. The impact of distributed generation will be analysed in terms of frequency and voltage
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the physical and chemical properties of materials that can be used as thin films and nanoparticles for chromics (smart windows, displays, self-cleaning, etc.), solar cells, gas sensors (indoor environment
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postdoctoral fellow at IFE to contribute to a groundbreaking project focused on power electronics and smart electrification. The project focuses on supporting and collaborating with small and medium-sized
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advantage: Scientific Machine Learning Causal Machine Learning Physics-based Simulation Experiences in specific application domains, especially related to the DISA-groups of data-intensive E-health, Smart
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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significant impact on the strength of the composite tank, leading to safety issues. Therefore, smart online monitoring and structural damage detection of the composite tanks is highly important. Various non
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is a vital electrification solution that enables vessels to connect to the port’s electrical grid while berthed, allowing them to shut down their auxiliary engines. This provides a reliable power
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research and education about development of efficient and environmentally friendly energy systems with a specific focus of grid bound energy systems like electricity, district heating and gas systems as
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the other two tracks: Trustworthiness Assurance – Focus on certification for cyber-physical systems interacting with smart digital infrastructure, such as robotics, transportation, and telecom. Research areas