43 algorithm-development-"The-University-of-Edinburgh" positions at University of Bergen
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development, creating complex, dynamic, interrelated systems that are constantly evolving. Stakeholders in local governance, industry, and community all have a role to play in this transformative process. By
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aim to increase the relevance and adoption of the solutions identified. The work will also allow for opportunity to develop fundamental understanding of the drivers of landscape multifunctionality, e.g
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to increase the relevance and adoption of the solutions identified. The work will also allow for opportunity to develop fundamental understanding of the drivers of landscape multifunctionality, e.g. theory
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, pharmacoepidemiology, public health, statistics or a related field. The position offers excellent opportunities for scientific development within an international research environment. About the project/work tasks The
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position offers excellent opportunities for scientific development within an international research environment. About the project/work tasks The specific tasks will be tailored to the candidate’s background
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the development of headache, and how headache impacts the Norwegian economy. The project applies advanced methods in epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in
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disorders, which medical, congenital, and environmental factors are associated with the development of headache, and how headache impacts the Norwegian economy. The project applies advanced methods in
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properties, and how these are controlled by geological processes, will be essential when developing theoretical rock physics models for shales. At macroscale, these models will be important for evaluating seal
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processes, will be essential when developing theoretical rock physics models for shales. At macroscale, these models will be important for evaluating seal integrity and transport properties of shales
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. Its primary objectives are to: Improve understanding of intra-Draupne sandbodies to support more reliable reservoir modelling. Characterize reservoirs and seals. Develop innovative exploration