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the project will be the development of physics enhanced data driven methods to achieve reliable prediction of residual usable life of milling tools. The approach will be validated by application to industrial
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academic groups and industrial entities in Europe and it addresses the development of a process chain targeting valorization of carbon dioxide to algal proteins. We, at DTU Chemical Engineering, will focus
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of the following areas and an interest to develop within others: Protein chemistry Enzyme kinetics and kinetic modelling Experimental physical chemistry Electrochemistry Assay development and
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encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing
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biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
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novel methods. You will contribute to the better physical understanding of these phenomena and their cosmological implications. The position is with Giorgos Leloudas, in the research group of compact
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industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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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