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++, maintained on github and configured via python. You will work with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international
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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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communication systems for 5G and 6G, channel modelling, channel characterization, radio-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor
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experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB. Very good knowledge of English, spoken and
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spatial distribution of recoverable resources. You will work in an interdisciplinary environment that brings together geophysics, mineralogy, and resource management, in collaboration with academic
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-time. Departmental administrative tasks may also be included in the position. The content of the duties, as well as the distribution between research, teaching, and administration, may change over time
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well as the distribution between research and teaching, may change over time. The successful candidate is expected to build a strong research program within the subject area and related fields. This includes actively