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-world networks with different structural properties. During the PhD, the successful candidate will work on several subprojects and analyse random graph models and complex networks by probabilistic tools
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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expectations? By using computational models (including probabilistic models and neural language models), we will be able to answer these types of questions. In addition, our project will benefit computational
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simply by paying attention to what they “hear”? Or do they need to come prepared with certain expectations? By using computational models (including probabilistic models and neural language models), we
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in