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interests in data science or data mining will be considered. A PhD in Data Science, Statistics, or Mathematics is required by the appointment start date. Evidence of excellence in teaching at all
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students and faculty through data consultations and curation, management, cleaning, and mining services; Working with numeric data in academic, scientific, or corporate environments The ability to engage
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mining industry, infrastructure construction, acid sulfate soils and sulphide-bearing rocks. Special focus is put on Critical Raw Material (CRM, incl. e.g. REE, W, V) mobilization in the environment
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cyclic liner tests Building the measurement chain from displacement sensors, pressure measurement, data acquisition to running the supporting laboratory tests Assessing the levelised cost of hydrogen
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the measurement chain from displacement sensors, pressure measurement, data acquisition to running the supporting laboratory tests Assessing the levelised cost of hydrogen storage alongside the
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal
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chemical and isotopic characterization of groundwater within the aquifer system of the Gorgoglione mining concession (MT), integrating hydrogeochemical and agro-environmental aspects through a
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. Strong programming and computational methods expertise, including Python, R or similar languages, machine learning, NLP, text mining and reproducible coding practices. Experience analysing social media
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motivated candidate with a strong background in molecular biology, human genetics/genomics, data mining, machine learning, and computational programming. The ideal candidate will hold a Master's degree
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and classroom instruction (oral, written, and video tutorials, etc.); Providing research support for students and faculty through data consultations and curation, management, cleaning, and mining