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Field
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and
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neutron stars. However, reliable predictions in regions where experimental data are scarce remain limited by uncertainties in model parameters, functional form, and the extrapolation of calibrated
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. This includes extending or adapting existing scenario modelling approaches to support increasingly complex cybersecurity exercises. RO3: Investigate simulation and predictive modelling approaches
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to support increasingly complex cybersecurity exercises. RO3: Investigate simulation and predictive modelling approaches for analysing cascading cyber threats and evaluating the resilience of interconnected
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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Computer science » Other Engineering » Control engineering Engineering » Systems engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Researcher Profile Recognised Researcher
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, you will: Run controlled decomposition experiments to quantify N, P, and K release from key cover crop species (cereals, brassicas, legumes, and mixtures) under UK conditions. Establish multi-year field
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11 Jul 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Control engineering Engineering » Systems engineering Mathematics » Applied mathematics
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on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
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methodological comparison between mechanistic vector control models and macroscopic SIR-type models calibrated on serological survey data. Currently, risk indicators (e.g., R₀ estimation) derived from mosquito