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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important
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LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf Regulations for Research Grants
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resources for the production of low-carbon concrete. However, their use is still limited by their high variability, heterogeneity, and by uncertainties regarding their behaviour when combined with
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of the century, which could be further amplified by a slowdown in the Atlantic Meridional Overturning Circulation (AMOC). This PhD is part of the French-Brazilian project AMACLIM (https://www.lsce.ipsl.fr/anr
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Machine Learning Research Scientist who
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global guarantees of stability and robustness to disturbances, uncertainties and actuation limits (saturation); b) the analysis of the stability and performance properties of the proposed solutions; c
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Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf Regulations for Research Grants of the Foundation for Science and Technology in force https
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. Experience handling large, multi-temporal, and multi-resolution spatial datasets, including data harmonization, quality control, and addressing data gaps and uncertainty. Excellent organizational skills; pro
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
to the development and the analysis of modern machine learning methods, with a focus on probabilistic modelling that enables, for example, to account for uncertainties when training neural networks, to capture complex
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically