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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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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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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division
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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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other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The Skellam lab is seeking a highly motivated and collaborative Postdoctoral Research Associate with skills and
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Location of Position (City) Rapid City Posting Text The Arbegast Materials Processing and Joining (AMP) Laboratory at South Dakota Mines invites applications for a Postdoctoral Researcher. This is a full
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for the position Names and contact information for two references The application deadline is 31.8.2025. We will immediately start to review applications until the position is filled. APPLY NOW We strongly encourage
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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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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
’) are compared to ‘post-impact’ investigations, covering a period from days to years after simulated manganese nodule mining. The focus of the position advertised here in the third phase of the project will be
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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