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different feedstock compositions and processing conditions influence performance, and to evaluate the ability of the models to serve as robust tools for dynamic recipe design in real production environments
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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accurately model the relationship between stress responses captured at the physiological, psychological and behavioural levels. The first part of the PhD will focus on addressing measurement issues in
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with this population. The project will be modelled on the Mapping ADHD services in Primary care (MAP) study, which was a nationally representative survey of adult ADHD services, treatment and prescribing
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systems under different attack conditions. RO4: Validate the proposed modelling and execution framework through implementation and experimentation in the Norwegian Cyber Range, assessing its applicability
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explore, and how different ways of structuring learning environments influence curiosity and learning. Computational models will be used to characterise individual differences in information-seeking
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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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communities across different lake habitats; (ii) evaluate the consequences of biofilm compositional changes for the production and trophic transfer of health-promoting biomolecules (i.e., essential
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for analysing cascading cyber threats and evaluating the resilience of interconnected systems under different attack conditions. RO4: Validate the proposed modelling and execution framework through implementation