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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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FieldTechnology » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Sólida formación en Machine Learning and Deep Learning / Strong background in Machine Learning and Deep Learning Experiencia
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for the Rural Spain: Adaptation of Large Language Models (LLMs) and Speech Recognizers to Rural Speech" (SI4/PJI/2024-00237), granted in the 2024 call for R&D Project Grants for Emerging PhDs by the Universidad
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parameters affect material properties and functional performance, and interacting with machine-learning and modelling teams to translate experimental results into predictive datasets. Preparing reproducible
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information on the QML-CVC team visit: http://qml.cvc.uab.es CONTEXT AND MISSION We are seeking a PhD student to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https
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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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to provide internal operational guidance and advanced tools that accelerate the adoption and development of machine learning (ML) methods across the centre. Its mission is supported by a set of strategic lines
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following criteria: PhD in Computer Engineering, Computer Science, Electrical Engineering, or a closely related field Demonstrated research excellence, evidenced by peer-reviewed publications Expertise in