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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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3 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Agricultural sciences » Agricultural products Agricultural sciences » Agronomics Agricultural sciences » Enology Agricultural
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bibliometrics, citation analysis, and research impact assessment. · Advanced skills in Excel and/or coding experience for tasks such as data cleaning and analysis · Experience producing and compiling
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University of California Agriculture and Natural Resources | Oakland, California | United States | about 2 months ago
programming. Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software. Demonstratable skill and experience with data visualization and presenting data in accessible formats
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biomarkers in body fluids. We are seeking a data scientist dedicated to clinical proteomics and biomarkers discovery and validation studies. This role will focus on building robust data management and analysis
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, and grant proposals. Lead data collection, quantitative and/or qualitative analysis, and synthesis of findings. Mentoring Writes and may contribute to research papers, articles, and publications. Mentor
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information visit https://hr.untsystem.edu/benefits/ About Us - Values Overview: Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco
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analysis using specialized tools (Maze, Useberry). - Experiencia en implementación web mediante CMS y constructores visuales (WordPress + Elementor) // Experience in web implementation using CMS platforms
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clean-up and/or analysis, amongst others. The work is part of a very busy, fast-paced clinical environment, akin to polyclinics or hospitals. For further details, please visit our study website: https
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii