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Field
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numerical experiments, analyze physical and biogeochemical model outputs, and compare model results with observational and reanalysis datasets. The position also offers opportunities to coordinate research
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methods. Additionally, you will develop/refine finite element and numerical analysis models to portray shear strength response as a function of temperature, and to attempt to ultimately reconcile those
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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, considering the valuation up to two
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as a pathfinder for novel technologies and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep
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– Coordinating with and assisting the PI in the design of experiment and grant proposal methodology as well as methods for analyzing the results of experiments. 2. Research Publications – Preparation of text
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– Coordinating with and assisting the PI in the design of experiment and grant proposal methodology as well as methods for analyzing the results of experiments. 2. Research Publications – Preparation of text
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element method. Proficient in python
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establish a research profile. Develop and execute innovative research projects. Develop, train, and evaluate modern machine-learning models on GPU/HPC infrastructure. Integrate AI methods with scientific