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PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in research and a strong commitment to interdisciplinary methods and approaches within
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pathways. This project aims at developing a holistic method to assess and identify the recycling and reuse pathways of building materials considering the full material cycles and market dynamics
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research and a strong commitment to interdisciplinary methods and approaches within the social sciences and beyond. Within the Department of Business and Sustainability, your closest colleagues are those in
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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, acoustics, or a related field • Very good command of audiological test methods and hearing aid treatment • Good command of psychoacoustics • Good command of the English language in spoken and written form
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, motivation, employed research method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein
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, motivation, employed research method, and key findings (max 1 page of 2,400 characters each, including spaces, notes, appendices, bibliography etc.) A certified copy of your master’s degree certificate
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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and