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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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University, you will get to validate your modelling results against experiments. You will also get to supervise a PhD-student hired on a similar topic. Your techniques will be published in the open source
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during the project period in courses at DTU. Candidates should have a two-year master's degree and as a formal qualification, you must hold a PhD degree (or equivalent) preferably culturing basidiomycetes
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folding of such proteins. Carry out expression and purification for functional characterization of selected proteins. Teach and supervise BSc and MSc student projects Potentially Co-supervise PhD students
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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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tolerant microstructures that can cope well during subsequent in-service use You will work in close collaboration with a group of senior scientists and technicians as well as Post Docs and PhDs. Also, the
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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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. Characterization and demonstration of the blue OPA based UOWC system. Supervise BSc and MSc student projects, and be co-supervisor for PhD students Data analysis, writing of scientific articles and presentations
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PhD students working on related topics, creating a highly interdisciplinary and supportive research environment in one of the largest cyber-deception groups in the world. Additionally, you will have