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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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, 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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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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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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or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision and data mining tools, and be able to work on group software projects using modern
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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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and data mining tools, and be able to work on group software projects using modern tools and environments. Interest in applying AI within the defence and security sectors is essential, but experience in
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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