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timber availability, and higher operational or administrative costs. This PhD project aims to generate new knowledge to improve forests' ecological, social and economic outcomes. Relevant to this aim
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biostatistics, developing new methodology, inference algorithms, and scalable implementations. By contributing to a new class of structured factor model, the candidate will work on foundational methodological
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
qualitative methodologies, such as case studies and literature reviews, to gain insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and
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thesis. Master students can apply, but the master's degree must be obtained and documented before starting the position You must have a strong and relevant academic background from your previous studies
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, mechanical engineering or a closely related field. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but
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biostatistics, developing new methodology, inference algorithms, and scalable implementations. By contributing to a new class of structured factor model, the candidate will work on foundational methodological
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applied in the processing of the applications. The position is subject to the following terms The researcher will be a member of the research group in which the subject area of the position belongs. As a
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to the award of a PhD degree. Undertake innovative and rigorous research on causal machine learning. Disseminate research outcomes through scholarly publications and public engagement activities. Collaborate
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prices through marginal values, shadow prices, congestion components, scarcity signals, and the relationship between market outcomes and physical network constraints. Regulatory aspects also need to be
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infrastructure and identifying effective strengthening measures. Selected existing structures will be used as case studies. A central aspect of the project is to identify how wave propagation in soil and soil