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24 Dec 2025 Job Information Organisation/Company The Belgian Nuclear Research Centre Department SCK CEN Academy for Nuclear Science and Technology Research Field Physics Computer science
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University of California Agriculture and Natural Resources | Davis, California | United States | 6 days ago
implementations. Designs and implements algorithms that incorporate agronomic knowledge to ensure applications provide scientifically accurate decision support. Conducts data analysis, testing, and debugging
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across the Life Span (CVLS), that includes facilities for research in visual psychophysics, accommodation and myopia, and retinal imaging and other areas. https://research.hud.ac.uk/institutes-centres
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relevant to data science including data visualization, multivariate statistics, time series analysis, predictive modeling and machine learning. Considerations: Exceptions to standard rates may apply
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and image generation based on deep learning. The aim is to study techniques for handling multimodal data by integrating visual information (2D and 3D) with textual or tabular metadata. This integration
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service period) positions in Data Visualization with an anticipated start date of September 16, 2026. Possible areas of focus include art and data visualization, AI and ethics, computational social science
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record of achievement in eye and/or vision science, who demonstrates leadership in project management, interdisciplinary collaborations, and securing competitive funding, as well as highly-developed
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mechanical components (e.g. fast shutters) Preparing visualizations, reports and documentation for future experiments Your Profile: Very good grades in your current bachelor studies in mechanical engineering
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Salary Range: $51,664 to $67,299. Individuals new to state service start at the minimum of the pay plan. Link to Agricultural Worker 2 Job Specification: https://www.jobapscloud.com/CT/specs
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Reference Number AE2025-0573 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0573.pdf CALL FOR