61 parallel-processing-bioinformatics PhD positions at Technical University of Denmark
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properties of the extracted compounds, (iv ) scale-up the optimized extraction process for potential industrial application. This is a unique opportunity to contribute to sustainable food innovation while
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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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fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
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to a two-year master's degree in a field related to one or more of the general areas of Computer Science, Computer Engineering, Telecommunication, Electronics. Approval and Enrolment The scholarship
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estimation of rotating tools. Direct tool wear characterization will be based on optical measurement systems and data processing to achieve wear feature recognition and quantification. Indirect tool wear
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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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to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be
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global water contamination through advanced materials science. Your Role: Investigate the structural and chemical dynamics of molecular adsorption processes using advanced characterization techniques
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Job Description We are searching for a highly motivated and driven candidate for a 3-year PhD position to investigate integrated photonics-based architectures for quantum information processing. You
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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