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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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environmental scientists/engineers to generate key indicators and eventually, building a database and open-source models to be executed by the global biotechnology community. One of the key aspects of this PhD
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Thermodynamics, Transport Processes and Mathematical Modelling. AT CERE has a total staff of approx. 50, of which 6 is faculty. Technology for people DTU develops technology for people. With our international
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bioinformatics workflows for the detection of de novo mutations from Illumina and Pacbio HIFI data Predictions of the phenotypic effect of mutations Modelling of the selection process on de novo mutations