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candidate will join a growing collaborative research environment at UiA focused on robust inference about ecological and evolutionary change in human-influenced systems. Researchers work with complex data
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research questions, and theoretical frameworks. Collaborate with the GENMAR project team in discussing, analyzing, theorizing and comparing research data from the different case studies. Actively
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candidate will join a growing collaborative research environment at UiA focused on robust inference about ecological and evolutionary change in human-influenced systems. Researchers work with complex data
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Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control), machine learning
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Higher Education and Skills (HK-Dir), the EU, and others. Responsibilities Project Description In this position, you will explore how learning-based control (data-driven control), machine learning
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, the shortcomings of purely data-driven approaches, particularly for longer prediction horizons, highlight the need to combine AI with physics-based models. Hybrid physics-AI modelling is thus
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programming (e.g. Python) is an advantage. Demonstrated proficiency in geospatial data analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate
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systems and their potential. The project activities will integrate the following tasks: regional geological mapping of the North Sea using seismic and well data, and integration of previously published
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resilience of electrical grid infrastructure against cyber-attacks, such as false data injection. By utilizing advanced monitoring and detection systems and hardware in the loop (HIL) testbeds, the
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Europe's leading academic departments within the fields of economics, finance, strategy, marketing, management and data science. As an employee at BI Norwegian Business School you will meet exciting