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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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at least 60 credits (hp) at an advanced level in design, lighting design or technical design, or have otherwise acquired essentially equivalent knowledge. You must have a master's degree, a civil engineering
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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multiagent dynamics, with special focus on human decisions and opinion dynamics. The research will deal with both theoretical and computational aspects. The student will develop dynamical models and apply them
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that collectively represent an object or a scene. This data structure plays a crucial role in distributed autonomous systems, enabling applications such as augmented reality, autonomous vehicles, and environmental
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application! We are looking for a PhD student in theoretical physics with a focus on the theory of magnetic materials. Your work assignments Your tasks will be to carry out research using advanced theoretical
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or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the respective area. Alternatively, you have gained essentially corresponding knowledge in
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of Sustainable Systems or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses of relevance for the subject. Your degree must be completed no later than the date when