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studies and PostDoc from another university (or equivalent "post-PhD" experience from institutes or industry). Documented experience of experimental techniques to study chemical and physical parameters
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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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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