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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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processing methods, are typically designed for operation in static environments: a model is trained on a fixed dataset and subsequently deployed for inference. However, real-world environments are often
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build the sustainable companies and societies of the future. The Biochemical Process Engineering research group, part of the Department of Civil and Natural Resources Engineering with approximately 350
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geophysical models developed in parallel projects The work will focus on establishing the geometry, kinematics and reactivation history of basement-rooted structures and evaluating their role in
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the ‘lone inventor’, modern economic science recognizes that innovation is a deeply social process embedded in human interaction. By tracing over 15,000 engineers and linking them to more than 100,000 patent
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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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to receiving your application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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. Application procedure The application should be written in English. The application should be submitted electronically as PDF files, as below. The maximum size for each file is 40 MB. CV:(Please name the