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Field
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) participate in the monitoring at sea to acquire video and picture of the transplanted sites, (2) quantitatively analyse video to define species and functional diversity, species abundances and population size
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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dogs with metastatic osteosarcoma 1. Assist with PET-CT and SPECT-CT imaging, image segmentation, and data analysis before and after treatment with RPT. Research fellow will be expected
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
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strains, imaging fungal growth and mineral dissolution processes, and analyzing chemical effluent and mineral weathering products. In addition, the postdoctoral researcher may have opportunities
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. Degree requirements must be met prior to the effective date of hire. The candidate should have prior experience, expertise, or familiarity in one or more of these areas: • Philosophical analysis in ethics
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analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real