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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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responds to unmet medical needs. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition
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, or related fields. PhD is welcome (plus), but not required. Essential Knowledge and Professional Experience Expertise in machine learning / deep learning applied to biomedical or healthcare data. Strong
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innovative research in three major categories: AI Fundamentals: machine learning, deep learning, data science; AI Core Applications: computer vision, natural language processing, speech processing, robot
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experience in the healthcare field will be valued, as well as solid knowledge of programming and development in machine learning, artificial intelligence, and data processing from various data sources
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At least 1 year of experience in customer or user support (helpdesk, IT support, or similar) Good computer skills and willingness to learn technical tools (basic SQL, Linux command line, databases
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title: Human-Centred Machine Learning: Lighter, Clearer, Safer (ACHILLES) Research line / Scientific-technical services: AI in health Grant/funding period: START: 01/11/2024 END: 31/10/2028 Centre
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learning and the impact of technology in any discipline or activity. You will work in a dynamic and flexible environment where you can develop professionally by working towards objectives. Responsibilities
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: Apply "machine learning" techniques. Perform statistical analysis of clinical data of critically ill patients. Validate the model with experimental data. Support in the preparation of reports and
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Requirements Educational Requirements: Test automation. Machine learning and data processing. IP protocols for satellite network communications. Professional Experience: In the E2E (end to end) verification and