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Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and electrification in
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, materials, and industrial processes for sustainable bio-based products and systems. The Department is responsible for education at the bachelor’s, master’s, and doctoral levels and collaborates closely with
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-based bioeconomy – from analysing how resources can be used and governed to developing technologies, materials, and industrial processes for sustainable bio-based products and systems. The Department is
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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or automated data processing workflows Experience building APIs or data services for large scientific datasets Familiarity with the Model Context Protocol or similar systems for exposing data to AI tools and
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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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is conducted in collaboration with the project team, but you are expected to work with a high degree of independence in developing, leading and contributing to all parts of the research process. In
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prompting logic, data pre/post-processing components, and explainability hooks. As a postdoctoral researcher, you will be a key member of the research team and work closely with both industry and academic
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using solution processing and printing technologies. Characterization of structural, morphological, mechanical, electrical, electrochemical, optical, and electromechanical properties of materials and