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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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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
of machine learning and AI algorithms and methods. Knowledge of species distribution models. Catalan and Spanish are valued LanguagesENGLISHLevelGood Research FieldOtherYears of Research Experience1 - 4
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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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algorithms using artificial intelligence for the implementation of cognitive autonomous robots. Where to apply E-mail ricardo.sanz@upm.es Requirements Research FieldEngineering » Industrial
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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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
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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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3 Oct 2025 Job Information Organisation/Company Universidad de Alicante Department Department of Mathematics Research Field Mathematics » Algorithms Researcher Profile First Stage Researcher (R1
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). Modelling of electrical distribution networks with VPPs and development of grid ancillary services. Implementation and proof of concept of the control algorithms in a Power HIL environment (Smart Energy
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the adaptation and improvement of the algorithms required for the aggregation and provision of flexibility to the grid, the optimized management of an energy community, and the intelligent operation and demand