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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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. See more about GRCs project work here: https://grc.osu.edu/Projects The GRC is a family-friendly workplace that supports in-person and hybrid-remote work arrangements. Our philosophy is to provide staff
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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experiments (wet lab) and data analysis with a focus on either aspect of the work. Proposals describing research that leads to new tools and/or methods for improving confidence in microbial measurement
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) of nanoparticles, especially extracellular vesicles and biomolecular analysis of these. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as
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. The work includes laboratory and field experiments with living mosquitoes, followed by insect identification using stereomicroscopes, as well as the application of imaging techniques and molecular analysis
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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within the CESEM/NOVA – Centre for Music Studies, carrying out the following work plan: The postdoctoral fellow will be responsible for the audiovisual analysis of excerpts from operas available
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. This role will support the school in analytics projects related to manpower recruitment, finance and other operations. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop and