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staff. Contribute to the design of experiments, data acquisition, data analysis and interpretation, prepare manuscripts, mentor junior researchers and work independently. Experience in cellular/molecular
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, with demonstrated experience in one or more of the following areas: computer vision, markerless pose estimation, movement analysis, behavioural quantification, time-series modelling, or multimodal data
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3 Sep 2026 Job Information Organisation/Company Lodz University of Technology Department Division of Dynamics Research Field Physics » Other Mathematics » Other Researcher Profile Recognised
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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21 Sep 2026 Job Information Organisation/Company Universitat de Barcelona Department Biochemistry and Molecular Biomedicine Research Field Pharmacological sciences Researcher Profile Recognised
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hold a PhD in the fields of ecology or evolutionary biology, or biostatistics/biomathematics. Required skills: - Data analysis using R and database management - Statistical modelling for ecology
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
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. This will be accompanied by qualitative analysis of data collected through the project to produce synthetic outcomes on the contribution that mobilities make to our understanding of transformational