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postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods for Partial Differential Equations with
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complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods for Partial Differential Equations with emphasis on standard and non standard
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of Earth surface processes, using optical, radar or lidar methods. Good knowledge about cryospheric and mountain processes. Previous experience with data assimilation and numerical modeling will be regarded
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of Oslo. Place of work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The project focuses on developing probabilistic latent-variable methods for large
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
for Research Fellowships awarded by FCT in Portugal (https://www.fct.pt/fct-atualizou-o-valor-das-bolsas-para-2026/ ), the amount of the monthly maintenance allowance is €1090,98, being the payment method
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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postdoctoral university assistant to complement the research team around Univ.-Prof. Ilaria Perugia, PhD. The focus of our research is in the area of Numerical Methods for Partial Differential Equations with
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, or on the observation and monitoring of science and technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20
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? The University of Colorado offers a comprehensive benefits package. To see what benefits are available for Post-Doctoral Fellows, please visit: https://www.cu.edu/docs/benefits-package-guide-post-doctoral-fellows
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical