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Experience in stakeholder engagement and translating technical knowledge into practical solutions Proven ability to work across disciplines and collaborate with industrial and academic partners Strong
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KPIs, and decision support systems Strategic mindset and strong analytical capabilities Experience in stakeholder engagement and translating technical knowledge into practical solutions Proven ability
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functionalization and a detailed knowledge about interactions between nanoparticles and living organisms? Are you looking for an ideal springboard for a future career as a scientist in either academia or in industry
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conferences, and actively participate in knowledge exchange across disciplines. As a formal qualification, you must hold a PhD degree (or equivalent). Specifically, a PhD in Materials Science and Engineering
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chemistry background, extensive experience working with spectroscopy (NMR and optical), chromatographic analysis (HPLC, LC-MS), mass spectrometry and/or organic synthesis is essential, and knowledge within
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, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge of neural network architectures (as a plus: PINNs, neural
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-world challenges. We encourage and support our postdocs to publish their research in renowned journals and conferences, and to engage in knowledge exchange with colleagues and external research and
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for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and
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on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research
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Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well: Strong expertise in algorithm development for neural networks. In-depth knowledge