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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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for: direct-from-sample diagnostics by - 1) Benchmarking Pathogen Detection: Investigate analytical sensitivity and "diagnostic cut-offs" to distinguish active infection from healthy asymptomatic carriage. 2
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sources of contamination within a catchment area. Bibliography: Bey-Zekkoub, M., Tassi, P., Lucas, C., Chhim, N., 2025. Modeling solute transport in rivers: Analytical and numerical solutions, Environmental
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environment Strong communication skills for engaging with diverse stakeholders Solid mathematical and analytical skills Strong programming skills Knowledge of privacy-enhancing technologies and/or applied
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multi-data analytics (e.g., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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sound statistical models and methodology for the data-driven analysis of complex and dynamic systems, with the goal of enabling predictive, prescriptive, and pre‑emptive analytics. We work closely with
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computer science, physics, and biology ‒ Excellent oral and written communication skills ‒ Strong organizational skills, autonomy, and efficiency ‒ Commitment to quality and rigor in work ‒ Analytical and conceptual
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a