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; 2) Supporting the development and application of analytical and data-driven approaches for system condition assessment and performance evaluation; and 3) Assisting in the development and validation
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
9 Mar 2026 Job Information Organisation/Company Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) Research Field Neurosciences » Neurobiology Researcher Profile First
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on understanding the aerodynamics and aeroacoustics of overlapping propeller systems. This project will involve high-fidelity flow and noise measurements, combined with semi-analytical predictive models
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Statistics Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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research output and impact targets (e.g. high-quality publications, grant applications, impact and engagement exercises). About the person: The successful candidate must: Have or be about to obtain a PhD in
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research projects in fish ”omics” analyses, behavioral analytics, stress resilience studies. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related