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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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). Skill and experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially
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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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. Familiarity with statistical techniques and data mining methods. Knowledge of database concepts and experience working with large datasets (good to have). Strong attention to detail and ability to handle and
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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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at University of Southampton (data mining and curation) and Imperial College London (experimental data collection and validation) on these tasks; you will manage collaborations with industrial partners during
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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evaluations of natural products for drug discovery Microbial genome mining for specialized metabolites discovery from human microbiota Manuscript preparation for scientific publication Generate data and
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: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields. Prior experience and proficiency in educational data mining and
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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