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characterization of backgrounds in searches for new physics and in studies of the Higgs boson. Where to apply Website https://www.unibo.it/it Requirements Additional Information Eligibility criteria Eligible
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15 Jan 2026 Job Information Organisation/Company CNRS Department Institut des Sciences Analytiques Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1
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documents in a digital form, in PDF format and will include Curriculum vitae, Motivation letter, Qualifications Certificate, and other documents deemed relevant. More information: https://www.requimte.com
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to interdisciplinary research approaches Publications in peer-reviewed journals demonstrating research expertise Proficiency in quantitative data analysis software (R, Python) and statistical methods Strong written and
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 5 days ago
The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing of tax data. Core goals include
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rheology, tensile testing, DMA, DSC, TGA among others. Training and co-supervising users of the facility. Actively contributing to data analysis. Preserving and developing a Research Data Management Plan
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Analysis & Reporting (IA/IR), the Modeler designs and implements sustainable data solutions that enhance reporting consistency, data integrity, and analytical capacity across the University. The role
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for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability detection, exploit mitigation techniques, scalability, software systems, software quality, malware, computer
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completing one) in biological mass spectrometry, proteomics, or structural biology, with demonstrated expertise in LC–MS/MS sample preparation and data analysis. While hands-on experience in cross-linking mass
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, or 1 years of relevant experience required with Bachelor's Degree. Desired Qualifications Masters degree in Nutrition, Public Health or related area; Experience with data analysis, using statistical