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. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization
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track or tenured professor in Spatial Landscape Analytics. The position focuses on developing and applying geospatial analytics methods for sustainable landscape planning in complex urban, and natural
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. The positions are research-oriented with a possibility of a small teaching component (0–10% of annual working time) depending on the department’s needs and the postdoc’s wishes of gaining experience. How to apply
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surface wetting methods Analyzing and reporting of obtained results, and planning the future work based on the results Working closely together with the other team members Contributing to the maintenance
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: Developing and optimizing advanced surfaces using state-of-the-art thin film technologies Characterizing prepared thin films using scanning electron microscopy and surface wetting methods Analyzing and
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staff, focusing on the integration of sustainability, circularity and cutting-edge materials science. Employ digital platforms to enhance teaching methods and course accessibility. Participate actively in
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information, research objectives and methods, possible hypothesised results, possible collaboration, and any other key information. CV including a List of publications (please do not attach full copies
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Biotechnology research at Aalto University. The lab will develop next-generation methods to evaluate, understand, and engineer biodegradation of polymers such as plastics, microplastics, and textile-derived
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motivated to conduct fundamental research What we offer The MQO and QNOF teams combine advanced quantum optics methods in both discrete and continuous variables with cutting-edge solid-state systems aimed
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large