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clinical research, systematic reviews and meta-analyses, population-based database mining, innovative product development, and basic science/translational research. Fellows will have the opportunity
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assignment of a research grant, with one position(s), under the project COMPETE2030-FEDER-00819700 | 16914, title W2R - From Waste to Resource: Bioprocesses for recycling mining industry waste in alignment
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Familiarity with topic modeling, semantic modeling, or other text mining approaches Experience working with large-scale genomic datasets (e.g., UKBB, FinnGen) Knowledge of in vitro safety assays and
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conduct research at the intersection of process mineralogy, mineral processing, and artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X
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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains
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enable the development of PE-based pipes with a longer service life for use in the mining sector. Work plan: The work plan aims at the development of new PE-based pipes with high abrasion resistance. It
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The research will explore how infrastructural development—particularly roads, mining, and urbanisation—shapes hunting, trade, and consumption of bushmeat, and how these changes affect human-animal interactions
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symptom trajectories and clinical outcomes (AMBIENT-BD)”, https://www.ambientbd.com/). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data