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materials design, prospective life cycle assessment, and industrial innovation. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network UP2MEM, a European training network committed
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our industrial network within the field of composite sustainability and circularity. You will be successful in attracting external funding to support research, and its implementation in technical
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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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for the EPHEMERAL research project. EPHEMERAL – Entrepreneurship and Place: How Entrepreneurs Manage Evolving Relationships Across the Life-cycle is a Marie Skłodowska-Curie Doctoral Network (MSCA-DN) funded under
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision
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)? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network
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), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network to Doctorial Candidates, with a
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enjoys a robust network of academic and industrial partners. This position provides an opportunity to engage with these collaborations and work on real-world challenges. We encourage and support our staff
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environment with close working relationships, networking and social activities a workplace characterized by professionalism, equality and a healthy work-life balance. Place of work and area of employment
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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced