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Field
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Laboratory (ORNL). As part of our team, you will study complex materials, form engineering solutions, and develop new techniques to study engineered systems and develop techniques to address physical
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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institution, with demonstrated expertise relevant to structural dynamics, sensing, signal processing, or data-driven analysis of physical systems. • Strong programming skills in Python, including experience
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, NY. Postdoc position responsibilities will include: • Conduct epidemiological and statistical analyses of large complex datasets • Develop final publishable-quality tables and figures for inclusion in
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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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response. Design, execute, analyze, and interpret complex laboratory experiments while maintaining accurate and comprehensive research records. Establish and maintain patient-derived cancer organoid cultures
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
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responsible for conducting the studies outlined in the NIH-funded grant, including participant recruitment and assessment, data analysis, and manuscript preparation. The postdoctoral fellow will receive
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Are you interested in advanced rheological characterization, microstructure analysis, and modelling of complex food systems? In this postdoctoral project, you will combine fundamental science with
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pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies