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Field
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Macedo; Naghmeh Ramezani Ivaki IV - Work Plan / Goals to be achieved: Title: Agentic AI for Software Development Brief description of the scholarship's objective: Effective task delegation in software
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of the grant: Ana Clotilde Amaral Loureiro da Fonseca IV - Work Plan / Goals to be achieved: Development of polyester-based composites with cellulose fibers. Chemical, thermal, mechanical, and biodegradability
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and tools for efficient software development (e.g., Co-pilot, Cursor). Desirable: Basic knowledge of data analysis or experience
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ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030. 1. GRANT DESCRIPTION Type of grant: Research
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student enrolled in a doctoral programme, aiming to consolidate scientific training through the development of research work leading to the award of the respective academic degree, integrated or not into R
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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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and international conferences and in scientific journals; i) Supporting other development activities at CICS.NOVA.UÉvora. Applicable legislation and regulations: The Research Grant will be awarded
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applicable law. 3. Work plan: The selected candidate will work out R&D on ML-based Perception for AMRs targeting industrial applications. The work plan comprises the following tasks: - Development of a
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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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signing the contract. Activity Outline: Development of road safety studies, namely through literature review and data analysis, with a view to scientific publication. The use of statistical software (R