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Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining
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research methods (e.g. survey, experiment), statistical analysis (e.g. regression, multilevel modeling, SEM), and computational techniques (e.g., NLP, data mining). Proven track record with publications in
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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and functional (ENCODE, Roadmap Epigenomics, GTEx) data mining. Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base
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. This knowledge will contribute to the development of more efficient breeding methods, which will be applied to genetic data mining of the USDA National Plant Genetic ornamental germplasm collections and their
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
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the Internal Project, under the following conditions: Scientific area: Digital Transformation by Process Management and Process Mining Recipients: Graduates in Computer Engineering and related areas Duration
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internationally renowned experts We focus on: Advancing operational risk and control management Enhancing workplace safety and health Progressing effective human factors approaches. Leveraging advanced data
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme