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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
, including the application of multi-objective optimization techniques, particularly within the context of biorefineries and biomanufacturing. The successful applicant will also bring significant experience in
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for optimizing existing Mg-RE alloys and will lay the groundwork for the development of digital twins and new RE-free Mg alloy systems. Your profile #a master?s degree in Materials Science, Mechanical Engineering
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to develop and optimize experimental pipelines.Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science.Independently drive research
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this exciting field of biomedical research, EpiSignal offers a state-of-the-art interdisciplinary training program at the intersection of cell signaling and molecular epigenetics, that optimally prepares doctoral
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decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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together with a Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains
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principles as well as material properties of extremely thin silica membranes. In this project, you as a PhD candidate will carry out: detailed theoretical studies and optimization of light guidance in HCFs
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therapeutic’s efficacy • Culturing primary human cells and cell lines • Conducting molecular biology assays • Creating and validating viral delivery systems • Optimizing
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transmission. The successful candidate will work on elucidating the regulation of these channels and developing and optimizing gene therapeutic approaches in mouse disease models to prepare for putative future
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defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge