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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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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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products • Broad experience with small molecule isolation and structural elucidation using HPLC, LCMS, 1D NMR and 2D NMR techniques • Skilled in structural elucidation using MS/MS data from metabolomics
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is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensures that all employment practices are free of discrimination. Contact Information
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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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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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Mohammed VI Polytechnic University - Benguerir - Morocco Geology & Sustainable Mining Institute GSMI About the employer Mohammed VI Polytechnic University is an institution dedicated to research and
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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...
information collected from molecular data and explore in combination with existing knowledge on environmental conditions using ecological statistics Characterize environmental consequences of nodule mining and
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with