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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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24 Jan 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Psychological sciences » Behavioural sciences Researcher Profile First Stage Researcher (R1) Application
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starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
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dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. You will receive extensive training in these techniques as part of your PhD project and will work
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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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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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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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of PRIDE observables with conventional radiometric tracking data. Your work will bridge radio data analysis, planetary science, and software development, and will directly contribute to improving
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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