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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Saint Point, Bourgogne | France | 4 days ago
health data (no wet lab) Skills/Qualifications: All applicants must have a doctoral degree (e.g. PhD, PharmD-PhD, MD-PhD, or DVM) and a solid record of research accomplishments (grants as PI, publications
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18 Mar 2026 Job Information Organisation/Company CYU Cergy Paris Université Department 95300 Research Field Mathematics » Mathematical analysis Researcher Profile Recognised Researcher (R2
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will
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the infrared spectral region experience with programming for data analysis in Python and experimental control in LabVIEW ability to work both independently and collaboratively with other researchers Additional
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LevelMaster Degree or equivalent Skills/Qualifications We are looking for an ambitious PhD candidate with the following requirements: 1. Data Integration and Management Ability to compile and harmonize large
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, including combined RP‑HILIC suspect screening and temporal trend analysis of environmental contaminants, are strongly encouraged to apply. Strong experience in LC-HRMS instrumentation, data processing
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of applications: April 14, 2026 23:59 AoE (15 April 2026, 13:59h Europe/Madrid Time) The IMDEA Networks Institute offers one partially funded PhD position in the area of Smartphone Baseband Security Analysis and
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model