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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
administrative data, survey data, and qualitative data gathered from fieldwork and interviews. Conduct high-quality research within the framework of the project, including the design, collection, and analysis
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Monday 27 April 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409190/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers
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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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hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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negotiated salary progression. More information about employee benefits is available https://liu.se/en/work-at-liu/employee-benefits . Union representatives Information about union representatives, see https
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including grade 7. Visit the Centre for Research Staff Development for more information. How to Apply Please apply via the KLC portal at https://www.kcl.ac.uk/jobs and attach the following additional
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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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for the identification of floating material (plastic and wood) 2. Creation of ground truth for satellite data 3. Development of geomorphological process indicators from satellite classifications 4. Analysis of data
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characteristics? The aim of this PhD project is to develop large-signal modelling and transient stability analysis methods for wind turbine generators under grid fault conditions, with particular emphasis on multi