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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
to local communities and corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We operate with
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recordings from neural organoids Have experience of performing RNASequencing (bulk and single cell/nuclei) from neural organoids Excellent problem-solving skills and the ability to troubleshoot complex
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issue. It will be an advantage (but not a requirement), if the candidate has worked with PFAS target analysis, is familiar with complex data scientific approaches, has experience with the analysis
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and execute complex research studies, procedures and protocols related to the development of novel biomaterials Participate in discovery projects as well as translational projects in the area of
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Analysis of CO2-to-Food Pathways We are seeking a postdoctoral researcher (or research assistant, depending on qualifications) to contribute to the modeling, integration, and techno-economic assessment
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specializes in fluorescence and Raman-based approaches, integrating advanced microscopic analysis to gain molecular-level insights into complex materials and systems. The lab is internationally recognized
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
issue. It will be an advantage (but not a requirement), if the candidate has worked with PFAS target analysis, is familiar with complex data scientific approaches, has experience with the analysis
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% women; three continents represented). The strengh relies in coupling: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We approach science with
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, identifying emerging trends, and translating complex scientific challenges into actionable research plans. Excellent communication skills (english, spanish and catalan): Exceptional written and verbal
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on visual and perception and decision-making in complex environments, with a focus on medical image perception and Artificial Intelligence (AI). This position offers hands-on experience with behavioral, eye