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integrated and empirically evaluated. Expected results include a validated prototype, a concise experimental analysis highlighting practical trade-offs in the design of RAG systems for space applications, and
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing of tax data. Core goals include
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pre-processing, including background correction and normalization.; • Develop algorithms for spectral feature extraction and chemical map generation from LIBS data.; • Apply multivariate analysis and
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of renewable biological resources, including in relation to environmental variability. This includes the development and use of data analysis methods and models capable of describing and integrating physical and
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Cycle Assessment (LCA) tool, according to applicable normative frameworks; Analysis of agri-food production systems, namely regarding the identification of inputs and outputs and process flows; Use and
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interviews is open to award no. 1 research grant in the field of “Analysis of high-resolution morpho-bathymetric and seismic data for realizing the CARG geological sheet No. 627 “Selinunte” and development
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proficiency;* 5.º - Strong sense of responsibility, autonomy in task organisation, and ability to work collaboratively; 6.º - Experience in data collection and basic data analysis, as well as an interest in
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analysis, generalized linear models and Cox regression; Good knowledge of the English language (written and oral); High sense of responsibility, organization and orientation of work towards results; Ability
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous
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against atropine and scopolamine using a SELEX methodology; Bioinformatics analysis and characterization of nucleic acid libraries; Development of an aptamer-based LFA biosensor for the detection