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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
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, potentially reducing NOx emissions. Developing porous burners requires understanding complex physics such as heat conduction, radiative transfer, flame stabilization, and surface chemistry, which are difficult
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on landscape archaeology using Geographic Information Systems (GIS) and network analysis MAIN JOB CONTENT Framework Performance of auxiliary/partial research and development work according to the instructions
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hierarchies and incorporating more technical datasets such as geomorphology and metal detection finds into archaeological analysis researching into the complexity of the production and distribution chains
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Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance, reliability, and availability of complex industrial systems while making maintenance strategies
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, Geography, Social Sciences, Liberal Arts. An MSc degree in a relevant area is desirable though not necessary. Desirable Experience: • Research skills: literature review, data collection and analysis
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
of Computational Biology (ICB) , as part of the Computational Health Center at Helmholtz Munich, is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored
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specified by the Department's study regulations for registration as a PhD student before the approval of the fellowship agreement. They should be interested in systems analysis, complexity thinking, and