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The Department of Automatic control is recruiting a Senior Lecturer in Automatic Control with focus on machine learning at the border between ICT and life science. Automatic Control is an exciting
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using machine learning. With the help of deep-learning approaches methods to predict flexibility, conformational changes, and structural ensembles will be developed. The project may also involve
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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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development phase of the project. This involves using large volumes of forest inventory data for training different machine learning models to both classify tree species and map their proportions across
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communication skills. Other experience relevant to the third-cycle studies, e.g. professional experience. Other assessment criteria: Experience working with Deep Learning and/or Computer Graphics Familiarity with Deep
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well as machine learning and online data collection (experiments, surveys). Excellent skills in spoken and written English. You need to have excellent ability to work in a team and be goal- and result-oriented
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) to develop, implement, and apply relevant scientific models to data and critically assessing the results. programming experience (preferably in Julia, Python, Matlab, or R). experience in Machine learning
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, and subsequent scientific analysis and interpretation, also involving machine-learning approaches. To develop and benchmark the analysis, we will on the one hand aim to employ available frameworks and
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include development of cleaning procedures for the noisy and corrupted data, choices of optimal sets of sensors and extraction of optimal features using techniques in data mining and machine learning
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prospective clinical data. You will perform multiome analyzes and use machine learning methods. The position involves independent research in own defined projects and to work independently with writing