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possess knowledge and skills in computer science, particularly in the areas of algorithms and data structures, databases, distributed databases, data warehousing and analytical processing, knowledge
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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-channel measurement systems, transmitted via high-speed links to a server for algorithm-based processing. The candidate will contribute to the design of efficient server-side data processing and participate
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probability distribution known only up to a normalization constant, is fundamental in Computational science, engineering, and Bayesian statistics. Recent research suggests that gradient flow-based algorithms in
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the distribution of diverse gene classes to the ecology of fungi [1] and predicted the presence of traits that were considered absent from fungi [2]. Currently, only homologs of defined and relatively conserved
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environments for acquiring and analyzing measurement data, developing algorithms for criterion quantities for assessing the integration of distributed generations with the power grid, developing data preparation