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individual meetings. • Present data and findings to research groups in the University and at national meetings. Qualifications Minimum Qualifications: PhD in a relevant field (Biochemistry, Molecular
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human genetics and the biological interpretation of complex traits. You should have experience with genetic data analysis, statistical genetics, and be motivated to understand how AI-based models can be
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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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Subject area: Applied economics Description of the doctoral project The research area is agricultural and food economics. This PhD project will focus on applied economic analysis of agriculture’s
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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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changeYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for an enthusiastic, motivated, and autonomous researcher with: A PhD in glaciology, geochemistry, physics
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
- University of Toronto Mississauga Course number and title: BTC1730H - Modern Data Analysis in Structural Biology and Drug Discovery Course description: This engaging and comprehensive course explores the
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Institut de Chimie des Milieux et Matériaux de Poitiers | Poitiers, Poitou Charentes | France | 21 days ago
: Gas physisorption (N2, Ar, CO2, H2), TGA. Compositional: GC/MS, elemental analysis. Adsorption Tests: High-pressure isotherms, selectivity for CO2/H2 and CO2/CH4 Funding category: Contrat doctoral PHD
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for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast EC-STM system and contribute your own ideas to the project