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. 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 modelling, autonomous
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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models, threat mitigations, and system-level architectures to support trustworthy and fail-operational task offloading. Responsibilities: Conduct research in security-aware real-time offloading in
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge
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, structural, and cellular biology; enzymology; immunology; microbial ecology and physiology; natural product chemistry; modelling nanotechnology and bioinformatics. The department mission is, based on a
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. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled
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research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results
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genetic reconstruction. Experience with working and handling non-model bacterial expression organisms, including thermophilic bacteria. We offer DTU is a leading technical university globally recognized