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Description of the workplace The positions will be placed at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences . The Centre for Mathematical
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at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is a department affiliated with both the Faculty of Engineering (LTH
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, molecular omic, and neuroimaging data using machine learning Project: Stroke is a leading cause of death and disability worldwide. Ischemic stroke is heterogeneous both in terms of etiology and outcomes
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the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with time series data (EEG), signal processing and machine learning. PhD student 2 will work
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(https://dune-project.org ). For Area 2: Knowledge in uncertainty quantification, computational statistics, and/or machine learning is a strong merit. An assessment of ability to think independently and to
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Birth Register, relevant quality registers, and SCB's population register. By using machine learning and spatial analysis methods, we will investigate the effect of various sociodemographic and contextual
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Scientific Leader for Chalmers AI Research Centre, CHAIR. The position is open to excellent applicants with a very strong background in research and teaching in AI and machine learning. About the Department
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and calibration specific to each sensor. The second layer employs sensor-agnostic machine learning techniques to transform sensor data into information using deep learning architectures. The third layer
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at the interface of Numerical Analysis, Uncertainty Quantification, and Scientific Machine Learning. Manifold Gaussian processes will be used to approximate the solutions to parametric partial differential equations
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of the subject area The predictive medicine group is focused on application of machine learning and AI for development and validation of predictive models for biomedical applications, with a particular interest in