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their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. Experience in machine learning, algorithmic theory, or code
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to tumour tissue images have improved characterisation of cancer tumours in clinical routine. However, traditional machine learning models require annotated data and are limited in scope, while foundation
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extensive experience with physics-guided modeling; strong interest in time series machine learning and the ambition to learn are what matter most. The results will support safer automation, fewer failure
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universities in Machine learning, especially in Deep Learning, with a high concentration of ELLIS (European Laboratory for Learning and Intelligent Systems) researchers, as well as unique labs for field robotics
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), signal processing, machine learning, computer vision, video processing After the qualification requirements, great emphasis will be placed on personal skills. Target degree: Doctoral degree Information
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
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of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
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will use machine learning and other advanced statistical techniques to develop precision prediction models using large multimodal datasets. Assist writing and submitting grant applications. Work as a
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employed at Lund University, Work with u s. Work duties In the role as Project Assistant you will use machine learning and other advanced statistical techniques to develop precision prediction models using
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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super