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Field
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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understanding of Lithium-ion battery systems, BMS, and battery models, including equivalent circuit and electrochemical models. Proven ability to develop and implement state estimation algorithms, such as Kalman
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of the art in optical transceivers Understanding modeling of the optical modulators and simulation platform for simulation optical transceivers Develop high-bandwidth TX driver architectures for advanced
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systems, you will develop new computational frameworks for data-driven game-theoretic control in large-scale multi-agent systems. These methods will contribute to applications such as multi-actor power
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characterize their mechanical performance and damage evolution. The experimental results will be used to develop constitutive models for the welded interface. In particular, these models should describe
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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Infrastructure? No Offer Description Start date/duration as soon as possible until 14.09.2027 Job profile: Your responsibilities: PhD thesis in the field of software engineering and model-driven engineering
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cardiovascular disease. A possible direction for the work is the development of probabilistic graphical models that represent proteins as latent causal drivers of disease, while treating other omics layers as
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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than relying on purely data-driven approaches. The ultimate goal is to develop more accurate and reliable models and methodologies for the design, validation, and deployment of advanced wind farm control