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Field
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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. The research group focuses on B cell in both normal physiology and disease pathology. Currently, there are four main topics in the group, including the development and diversifications of B cells, the discovery
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algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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in the network. Here unfair indicates that people with different personal traits are differently and unjustly affected by algorithms not designed to consider those traits. This project aims to develop
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treatment approach for depression in young people - Training for Awareness Resilience and Action (TARA) - with standard treatment (ST). The TARA-group was shown to be superior at six months follow-up and the
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approach for depression in young people - Training for Awareness Resilience and Action (TARA) - with standard treatment (ST). The TARA-group was shown to be superior at six months follow-up and the safety
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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reconstruction, and the need to evaluate generated and transmitted data in terms of their relevance and utility for achieving specific objectives. To address these challenges, the project will develop theoretical