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) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon
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computing architectures. The project explores hybrid CMOS–spintronic computing systems, leveraging emerging spin-based devices such as magnetic tunnel junctions (MTJs) to enable ultra-low-power, non-volatile
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of ingestible devices powered by novel energy‑generating materials such as triboelectric generators. The EMGUT project is now midway, and we are ready to demonstrate our technologies in animal models. In
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. The ability to write and present in Danish will be very valuable but it is not an absolute requirement. We welcome international applicants. While a relatively traditional background in economics can be useful
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Job Description Background We are seeking a candidate for a 3-year PhD project as part of the EU-funded project “CommUnity Power”. The project seeks to support the development of energy communities
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domestic or office settings. Note that there is growing trend towards XAI today. Opaque-box models with deep learning (DL) might potentially offer high accuracy but are not explainable due to which there can
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is highly beneficial. You are expected to have a keen interest in biomedical microsystems and the ability to interact with researchers in a very interdisciplinary environment. Excellent
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technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics
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CRISPR-based systems, to achieve precise, multiplexed edits in human cells. Your project will span from computational discovery of novel enzymes to their validation in primary human T-cells for cancer
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processes is highly beneficial. You are expected to have a keen interest in biomedical microsystems and the ability to interact with researchers in a very interdisciplinary environment. Excellent