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algorithms, are becoming increasingly flexible and capable of operating in complex and dynamic environments. To maximize their potential, these robotic functions must be effectively contextualized within
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algorithms, are becoming increasingly flexible and capable of operating in complex and dynamic environments. To maximize their potential, these robotic functions must be effectively contextualized within
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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PhDs at the Department who are working on related topics. The PhD project has the main objective to develop distributed control algorithms which will contribute to ensuring secure and stable operation of
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Design of Experiment, we build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as Generative AI. Novo Nordisk is a leading global healthcare
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during your studies . These visits can be split into different periods. Project summary and background requirements Motivation : The ongoing changes in the power system necessitate novel algorithmic and
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build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as Generative AI. Novo Nordisk is a leading global healthcare company with a 100-year
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for biotechnological applications aiming at valorization of biowastes. The proposed research title is “Construction of microbial consortia based on genetic information”, and the aim is to develop a platform for
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Job Description Do you want to be part of a team that is developing novel tools to create genetic medicines and better model systems to test them? Then join the Precision Medicine Technologies Lab
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two-year master's degree. Master’s degree in bioinformatics, computer science, data science or a closely related field Relevant ‘life science’ interest and coursework in e.g. molecular biology/genetics