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machine learning or computer vision, or be in the final stage of their PhD with a scheduled or imminent thesis defense. A strong publication record is required. We are looking for candidates who have
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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of the objectives lead by the PhD fellow’s Contribute to study design and methodological aspects of research objectives Collaborate with PhD fellows in the interpretation and reporting of results. Generate
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composites in fire conditions The candidate will acquire hands-on experience with polymer synthesis and characterization, flame retardancy and polymer processing. The candidate will gain experience in
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for improving the safety of LIBs Reinforced polymer composites In-depth understanding of the fire behaviors of materials for LIBs The candidate will acquire hands-on experience with flame retardancy, and polymers
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motivated Postdoctoral Researcher (R2) who has recently completed their PhD and is looking to further develop their research career within a structured and supportive environment. This role offers a defined
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, including rigorous data collection, analysis, and literature review. Where to apply Website https://jobs.vhir.org/jobs/7942844-r2-i-recognised-researcher Requirements Research FieldBiological sciences