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. The solution will rely on nonlinear optimization and generalized non-linear mixed-effects models. Method development will be the main part of the project, but exploration and validation of the developed
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than
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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications
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, Pytorch, etc Optimization techniques (e.g. gradient-based, stochastic, linear programming) Machine learning techniques Energy storage systems Furthermore, a successful candidate has: Excellent use
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for testing CMOS circuits at cryogenic temperatures (using dilution refrigerator). Perform low-temperature measurements of electrical parameters (gain, noise figure, linearity, etc.) and compare with