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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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opportunities for personal development, teamwork, and presenting your work at national and international conferences. Hybrid working is possible for tasks such as data analysis and writing. Your role As a PhD
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analysis with spatial data to assess cascading supply chain risks and other systemic effects, supported where relevant by system dynamics modelling. Second, the PhD candidate will develop models to assess
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clinical analysis. Your colleagues: A multidisciplinary team of cardiothoracic surgeons, intensivists, cardiologists, biomedical engineers, and data scientists within a state-of-the-art MCS lab and high
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14 Mar 2026 Job Information Organisation/Company Erasmus University Rotterdam (EUR) Research Field Economics » Business economics Economics » Management studies Researcher Profile First Stage
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on stakeholder priorities (Luxembourg), 2) systematic review on surrogate outcomes for economic evaluation (Czechia), 3) observational data analysis on the validation of these outcomes (Germany), 4) integration
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
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analyse both existing panel data and newly collected survey data (e.g. with multilevel regression and longitudinal panel analysis). We will refine existing network measures to better capture inherited
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3 Mar 2026 Job Information Organisation/Company Wetsus - European centre of excellence for sustainable water technology Research Field Agricultural sciences » Soil science Technology » Biotechnology
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English