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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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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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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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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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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
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% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The fellow will be expected to lead/contribute to research linking vegetation
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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 absence because of illness, parental leave, position as elected representative in trade union organisations, military service or service/assignments relevant to the subject area, this time can be deducted from