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for these trends; mine a “big” database to understand changes in Texas Coast fisheries, and their causes Engage and educate the public, work with non-profit Pursue funding opportunities related to fisheries and
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collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or
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Post-Doctoral Position in biomedical data mining - (200000K1) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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, with the possibility of a contract extension after this period. The selected candidate is expected to work on projects about dust control, biostabilization and bioleaching, and reuse of mine tailings
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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, AZ USA Position Highlights The ideal candidate will work with Dr. Bheemasetti in advancing the fundamental and applied research in the geomechanical behavior of geomaterials and mine systems
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
Position Title: Postdoctoral researcher – Plant ecology and soil–plant interactions in vegetated photovoltaic systems-in mining site. Duration: 12 months, renewable. Position Summary: We are seeking
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in energy to join our research team as a Postodoctoral researcher. The position focuses on studying the performance of photovoltaic solar panels installed on post-mining sites, in relation
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model