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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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assignment of a research grant, with one position(s), under the project COMPETE2030-FEDER-00819700 | 16914, title W2R - From Waste to Resource: Bioprocesses for recycling mining industry waste in alignment
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, policy-aligned instructions, or integration with Role-Based Access Control (RBAC) mechanisms. This scholarship competition is part of the European project ‘COP-PILOT’. The tasks to be performed in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
their adaptation to new settings and/or tasks. This adaptation is even more challenging if we consider multimodal systems, that leverage multiple types of data. The healthcare field is a good example of these
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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both human and machine consumption scenarios. The work is closely aligned with ongoing international standardization efforts, namely within the JPEG XE activity. The scholarship holder will be integrated
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data pipelines and ml/nlp components. code quality and reproducibility indicators (portfolio, github, reports, project deliverables). Project fit and motivation (20%): alignment of interests with kag
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while protecting data privacy. Unlike traditional centralized machine learning, where data must be collected and stored in a central server, FL allows multiple parties to collaboratively build a global
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a High Education Institution and one or multiple research units. Work plan: The work plan of the fellowship will be developed within the framework of the PREDICT-OAE project. The project falls within
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data pipelines and ml/nlp components. code quality and reproducibility indicators (portfolio, github, reports, project deliverables). Project fit and motivation (20%): alignment of interests with kag