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Field
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/week) for three years. Your tasks sample collection during field campaigns, and subsequent laboratory analysis explore carbon and GHG turnover and exchanges in coastal systems impacted by mCDR work with
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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PhD Studentship - Process Industries: Net Zero CDT: Advanced Process Intensification Strategies for Chemical and Catalytic Reactions Using Taylor–Couette Reactor Technology Award Summary 100% fees
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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Systems (GIS) and large-scale spatial and environmental pattern analysis. They will also be responsible for participating in soil sampling teams and in the design of large-scale monitoring networks. With
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, the extracted milk contains valuable information on the metabolic status of the cow. Therefore, regular analysis of the produced milk is considered the most efficient way to monitor cow health. Today, online
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collaboratively with the energy sector, enabling you to establish an industry presence and develop leadership networks. Applications for the Zema Energy-related doctoral projects include but are not limited
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selection criteria Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis
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species lidar data analysis (f/m/d) The position is initially offered for three years with a start date as soon as possible. The salary is according to class EG 13 TV-L (approx. 40 000 €/year). The fixed
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models