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include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within this department, the Electrochemical Materials and
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and have a PhD in a field related to mathematical modeling and experience in optimizing industrial processes, this might be something for you! We are looking for a postdoctoral researcher (“PostDoc”) to
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together with industrial partners? Do you like supervising students and participating in teaching? If you are a creative and analytical person and have a PhD in a field related to mathematical modeling and
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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atomic-scale engineering of materials. Our focus areas include advanced and functional materials, chemical synthesis, energy storage and conversion, as well as molecular and materials modeling. Within
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for modelling, control, and optimisation of next-generation energy conversion systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise
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drives, power electronics, electrolysers). Your role As a postdoctoral researcher, you will advance AI-based technologies for modelling, control, and optimisation of next-generation energy conversion
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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on developing GaAs PICs in a project that includes everything from III-V laser epitaxy design and simulations, and fabrication, to system level PIC lidar tests and space qualification. Your role and goals You