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III of the Call for Proposals. - Demonstrable experience in tasks related to multibody systems dynamics, particularly slack modeling and data fusion algorithms with computational models. - Candidates
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to cover costs associated with taking up employment (flights, visa, insurance, etc.), to be distributed monthly as a top-up to the gross salary.1 · 9,000 EUR relocation for secondment stipend to cover
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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Line of research: "Research in secure and intelligent distributed computing" published in the official gazzette BORM 17/10/2025 ( IN SPANISH). Where to apply Website https://convocum.um.es/convocum2
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Line of research: "Research in secure and intelligent distributed computing" published in the official gazzette BORM 23/10/2025. ( IN SPANISH). Where to apply Website https://convocum.um.es/convocum2
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into secure and intelligent distributed computing" published in the official gazzette BORM 16/10/2025 ( IN SPANISH). Where to apply Website https://convocum.um.es/convocum2/paginas/pin/home.seam Requirements
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: The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1
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Learning algorithms to identify gene content profiles that may underpin relevant phenotypic traits in existing eukaryotic species and their ancestors, and to explore the role of horizontal gene transfer in
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models and reconstruction algorithms. Develop or adapt scripts (e.g. in MATLAB, Python) to facilitate data analysis workflows. Prepare scientific reports, publications and presentations to disseminate