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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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for efficiency. A solid understanding of algorithms, data structures, and system design. Hands-on experience with GPU programming. A track record of working on complex projects from conception to deployment
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binding oracles. Develop an algorithm to bias the generative models towards desirable properties, such as expression and developability. Develop and validate optimization tools for performing (Bayesian
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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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high latitudes and the associated impact on GNSS users. Research in methods and algorithms for early warning and assessing impact of space weather events that might cause severe disturbance of GNSS
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high latitudes and the associated impact on GNSS users. Research in methods and algorithms for early warning and assessing impact of space weather events that might cause severe disturbance of GNSS
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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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chain. Using Bayesian Optimization / Modern Design of Experiment, we build the data-foundation to enable true hybrid development between humans and advanced learning algorithms such as Generative AI. Novo
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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