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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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detection probabilities Contribute to further improving and harmonizing random verification schemes, including sampling plans and random inspection schemes, and methodologies to evaluate their effectiveness
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for the first time to map wealth trajectories over more extendedperiods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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Correct), Bayesian statistics, systems theory and artificial intelligence are to be used as a basis in order to explore and implement a continuous calculation chain starting from observable and controllable
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for the first time to map wealth trajectories over more extended periods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning Good knowledge of machine learning (e.g. Object Detection
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utilizes a flexible and advanced detector setup to investigate nuclear structure and astrophysical processes through the detection of decay radiation from exotic nuclei. Experiments are currently being
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of new methodologies to discover new