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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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focuses on the creation of visual representations that create insights and clarification of complex data. This includes the interpretability and explainability of machine learning models
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at the intersection of numerical analysis and scientific machine learning, focusing on the development of reliable, physics-aware AI frameworks. The aim is to build a mathematically grounded approach for approximating
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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
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and its relation to practical implementation. Understanding analogue and digital circuit design. Fluency in mathematics, especially within linear algebra and optimization. Experience from using machine
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such as energy, industry, consumption, and urban development. At the research frontier, the application of AI and machine learning is enabling novel pathways for sustainability transitions. These include
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receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. We
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senior lecturer and eventually professor. You will receive five weeks of training in teaching and learning in higher education and also get the opportunity to learn Swedish through the University’s Swedish