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related field and have previous academic experience in machine learning. The candidate should have a strong background in metrology and medical image processing. Active participation and collaboration
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molecular biology, genome editing, and imaging techniques to study cardiovascular phenotypes. -Collaborate closely with the group leader and other team members, contributing to project planning, data
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, human interventions can significantly impact the forests’ ability to contribute to greenhouse gas reductions. This position will contribute to research on disturbance processes and variability in
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Subject description Forests play an important
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kinetics, and advanced diagnostics of gas-phase and surface processes. The research ranges from fundamental studies of reaction mechanisms to applications in sustainable energy, catalysis, and plasma
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with the aim of studying and understanding processes in materials, often related to moisture and durability aspects. The division has a large laboratory infrastructure and has a high focus on
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of the role of dietary in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and
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research focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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