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the human blood system, and the heterogeneity that exists therein. You will use a combination of systems biology and data science to gain a better understanding of cell differentiation at the protein-level
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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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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
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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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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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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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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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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
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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