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to perform an experimental PhD in Physics in the area of Quantum optoelectronics and 2D materials. The position is available from 1 October 2025 or as soon as possible thereafter. The successful candidate will
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
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research. The activities encompass research as well as education within materials, mechanics, physics, production technique, and industrial management and innovation. Benefitting the industry and additional
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sustainable materials, (d) Artificial Intelligence (AI) models to predict and control the manufacturing process and (e) a Digital Twin (DT) incl. Building Information Modeling (BIM) information backbone
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select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not. When the hiring process is completed, a final rejection will be sent
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) of mathematics, mathematical physics or theoretical physics. The successful candidate will have some background in mathematics, particularly topology and category theory, as well as some knowledge of
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for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts with backgrounds in physics, chemistry, materials, and computer
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aim to help us achieve intended behaviour changes, such as being more physically active or acting more environmentally conscious. However, many existing technologies are information-centric, focusing
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will address four challenges towards the first several steps in LIB recycling process (i.e., collection, diagnosing, sorting, and disassembly): Information asymmetry between different stakeholders in
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characteristics are intricately linked to the electronic configurations of the f -element ions, and any modifications in these configurations result in dramatic changes in their physical and chemical properties