12 applied-harmonic-analysis Postdoctoral positions at Utrecht University in Netherlands
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Postdoc in Stem Cell Technology and Biofabrication Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application deadline: 1 August 2025
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innovative research on marine mammal health and mortality; analysing large datasets from post-mortem investigated marine mammals and related environmental factors; applying advanced data analysis techniques
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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Apply now How do diverse voices in the competitive Iranian public political sphere justify secularism as a political ideal? What models of secularism are proposed, and how do they differ in terms
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2025 Apply now For the NWO-funded Vici-project 'Care and Coercion. Patriarchy, (Forced) Labour and Caregiving in the Household in the Dutch Empire, c. 1750-Present', we are hiring three postdoctoral
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, computer science, environmental engineering or in a relevant science subject area with an affinity for renewable energy integration, spatial analysis/GIS and programming; has proven experience in programming
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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional