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seeks to appoint a Researcher (R1- Master's Degree) on information management who can generate insights and recommendations based on process and user feedback data analysis to contribute
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includes Artificial Intelligence functionalities, 3D visualisation, and evaluation of the prototypes based on technical KPIs. Task 3.2: Production Development of Scalable OCRA/VTL Pipelines, Multilingual
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Intelligent AI-based Solutions and, more specifically, in all tasks of the work package: Task 3.1: Analytical Modelling and Simulation Solutions The task focuses on contributing to the development
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databases, supporting the development and application of AI-based data analysis tools, ensuring data quality and interoperability, and assisting in the preparation of technical reports and project
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Communication (ISAC) using cellular infrastructure is expected to introduce an additional sensing capability for future vehicular systems. This capability can complement conventional vehicle-based sensing and
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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Selection process The assessment of the curriculum evaluation will be based on the documents applicants will provide. In case an interview will be needed, applicants will be invited to participate via
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parallel evaluation activities. The Techno-Economic Analysis (TEA) will compare alternative configurations based on an equipment and operating cost library, calculating ROI, payback periods, and present
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centralized infrastructure, predominantly based on Nature-Based Solutions (NBS) but also incorporating technical processes. We are looking for a talented Forester or/and Environmental Scientist interested in
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: The main aspects of the project include studying a new rule and its role in physiology based on the recently published concept of the “coregulons” that can be built by proteins/RNAs in condensates