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Field
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, brings together machine learning and NLP, literary history and theory, media studies and STS, and the philosophy of language. For the four-year project “A Philology of Probabilistic Texts: The Problem of
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, probabilistic modeling, deep learning, high-dimensional data analysis, and scientific applications * statistical methodology, modeling, and inference * computational biophysics and imaging, including
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, probabilistic and topological characterization, well-posedness of PDE problems in domains with non-smooth and non-compact boundaries, global uniqueness, analysis and classification of singularities
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probabilistic machine learning, evidential learning, discrete variational autoencoders (VQ-VAEs), transformers, or model-based RL is highly desirable. Communication: Excellent spoken and written communication
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imaging modalities Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification
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systems or predecessor events. The position will involve developing probabilistic frameworks to characterize compound hazard frequency and severity under current and future climate states. The position
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Verification (CPV) include: extensions of higher-order concurrent separation logics (such as our Iris logic, see iris-project.org ), e.g., to reason about distributed systems; probabilistic program
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project "Crop Growth Monitoring and Yield Forecasting". This project aims to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing
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interest are multi-target prediction, sequence learning, time series analysis, uncertainty quantification and probabilistic models. In terms of applications the focus is on analyzing “omics” data (genomics
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons