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Field
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data-driven workload estimation, intelligent release
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psychology, and nuclear research to develop and test innovative approaches for countering false information. Using a mixed-methods, multi-level design, it will combine digital analytics, experiments, surveys
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methods, such as soil excavation, often generate large volumes of radioactive waste and incur high costs. This PhD project directly supports SCK CEN’s strategic objective to bring forward novel solutions
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, particularly for critical components such as cellulose, chlorides, and sulphates. Non-destructive examination (NDE) methods are essential to close these information gaps while preserving package integrity
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Materialist theories Developing appropriate (design) research methods Project management About the project:Thinking with Things is funded by the Austrian Science Fund (FWF) and will start on January 1, 2026. It
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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methods, focusing on their ability to solve hard problems more efficiently. Finally, selected developed techniques will be proposed for integration into real-world computer vision workflows, generating
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classification Estimation of the probability of developing diseases Anomaly detection Early diagnosis. The recipient will learn and apply a vast portfolio of complementary and synergic methods at the intersection