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the set-up of the research, the selection of methods and theories, data collection, analysis, and output. Given the nature of the project, the researcher is expected to work closely with secondary schools
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Description Challenge: Uncovering the interdependency between telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency
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estimation using multi-track Sentinel-1 (C-band) and NISAR (L-band) data. Implement and extend dynamic InSAR processing workflows for near-real-time analysis, including quality control and anomaly detection
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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing provably powerful learning models for graphs will
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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26 Jan 2026 Job Information Organisation/Company Erasmus MC (University Medical Center Rotterdam) Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) First
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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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. Skills or experience in one or more of the following are an advantage: (PhD1) molecular biology, transcriptomics, quantitative data analysis, bioinformatics, mutant screens and plant transformation
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31 Jan 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Researcher Profile First Stage