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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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not only with the various working time models but also through the offers for the compatibility of family and career. Website for additional job details https://jobs.uni-graz.at/en/jobs/254dd70d-a492
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reduce erosion and flooding risks. However, many mangrove afforestation projects fail, particularly during the early stages of mangrove establishment. This highlights critical knowledge gaps regarding how
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 15 days ago
inverse modelling in geosciences. (https://www.ipsl.fr/ ) Task description for your Individual Research Project (IRP) Problem Definition: In order to account for the chemistry occurring in the rocket plume
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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knowledge through attention mechanisms within transformer networks. Traditional data-driven models struggle with convergence and generalisation due to limited contextual understanding. Earth observation data
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- models and the physical system. This gap arises from inherent incomplete system status knowledge as well as limited precision in sensor measurements. To address this challenge, uncertainty-aware methods
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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techniques for analyzing data collected from hardware sensors installed on electrospindles and the development of models for calculating the spindle’s remaining useful life. The contractor will explore topics
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are developed that prioritize interpretability and reduce data dependency by imposing desirable constraints on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be