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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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; Experience with basics statistical analysis or data visualization; Experience in EU funded project management and coordination is considered an advantage; Excellent command of English is mandatory while
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
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visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH); Optical system analysis and simulation; Developing AI/ML algorithms
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. This course primarily serves first-year business students and emphasizes practical, applied instruction in business process logic and mapping, relational databases (including SQL logic), data analysis and
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critical assessment of published data. Compositional analysis of stained glass windows in the laboratory by LA-ICP-MS and on site by pXRF. The latter requires the establishment of a robust calibration
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to design their imaging experiments (e.g. choosing microscopy modalities, sample preparation), maximize quality of imaging data, and consult on image visualization and analysis. The director will facilitate
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new features in these software packages and setting up new computational pipelines for large-scale automated data analysis, making an essential contribution to our scientific research. At Saeys lab, you
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data collection, identification of data sources, statistical analysis, interpretation, and dissemination. Conducts epidemiological analyses when necessary, prepares study protocols to obtain
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the