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of databases and data visualization. - Design of a timber architecture guide and a manual for the use of hardwoods. - Execution of experimental tests for the characterization of structural components and
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, proteomics) Experience in developing computational tools for data analysis and visualization Laboratory experience: RNA extraction, mRNA purification, and sequencing. Specific training courses in
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and/or bioinformatics. Keen interest in antibody biology and human immune responses. Previous experience and keen interest in developing skills in data analysis, statistics, and/or visualization is an
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information systems, remote sensing data classification, data fusion, processing and visualization, as well as UAV data acquisition. The candidate will be responsible for courses for students of environmental
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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with data visualization (graphs, GIS maps, figures). Proficiency with GIS software and spatial data analysis is highly desirable. Strong writing skills, including the ability to contribute to manuscripts
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identifying and analyzing patterns. Indeed, while the success of deep learning on visual data is undeniable, applications are often limited to the supervised learning scenario where the algorithm tries to infer
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, and/or visualization is an advantage. Previous hands-on experience (and passion) for LC-MS-based and related data analysis is an advantage. Strong communication skills in English are essential. Our
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the investigation and realization of improved microwave probe design, data processing, and visualization techniques to provide a robust method of data analysis, flaw characterization and sizing. AI/machine learning
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applications. Your key responsibilities: • Develop, validate, and apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post