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Field
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factors, involving the educational environment, learning design, and school culture; Device-specific factors, relating to the types of digital devices and best practices for safe and balanced use
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-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure reproducibility and FAIR data practices: version
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in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged to apply. High proficiency in
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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. — Excellent communication skills and a user-centred approach. The following will be particularly valued — Experience in analysis using machine learning or artificial intelligence applied to biomedical images
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employment contract within the framework of a Line of Research R&D Line: Reinforcement learning for controlling turbulent wakes https://www.upv.es/entidades/SRH/conypi/A1279388.pdf Where to apply Website https
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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function. Strong organizational and communication skills. Ability to work both independently and collaboratively. Motivation to learn new experimental approaches and progressively develop an independent
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine