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simulations. You’ll be part of a five member ERC team (PI, technical/data engineer, postdoc and two PhD students—observations & modelling) in Dr Louise Nuijens’ broader research group. Job requirements We
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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, from fellow academics to patients. You have experience with analysis of sensor data. You have an affinity for patient care and are able to communicate with patients. You have a good command of written
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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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Listen Published Friday 13 Feb 2026 Deadline Sunday 15 Mar 2026 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Introduction
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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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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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advise on experimental design, sample preparation, data analysis, and interpretation, translating measurements into meaningful scientific outcomes. You work closely with users and technicians