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these conditions, long term creep and shrinkage/swelling processes drive the evolution of mechanical stability of the material. The primary objective of this PhD is to enhance existing theoretical and numerical
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] Chiba University invites applications for a researcher to work on studies of observation impact assessment and observation system design in the context of numerical weather prediction (NWP). [Work content
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activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
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probability theory, mathematical finance, or optimization and is capable of actively contributing to research projects in these fields. The contract start date is flexible, beginning as early as March 1, 2026
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assimilation, utilizing numerical models and their output datasets. 2. Research and development of methodologies for optimizing the spatial deployment of observation sites and evaluating observational parameters
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 17 days ago
didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng-vacant-didactic-and-research-positions-2024.pdf Where to apply E-mail resurse.umane@upb.ro
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objectives. Duties of the position The successful candidate will be expected to complete their doctoral education and perform fundamental research, primarily within: Develop and optimize eco-friendly shell
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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. Background in numerical analysis and/or optimization, with interest in error estimation, convergence, and robustness to noise. Experience with geospatial data (LiDAR/photogrammetry/GIS) and handling large