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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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Requirements: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto_Script, Machine and Deep learning and computer vision. To have
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throughout the duration of their PhD, plus periodical monitoring and evaluation activities. The objective is to provide students with all the support they need for the proper development of their research
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the duration of their PhD, plus periodical monitoring and evaluation activities. The objective is to provide students with all the support they need for the proper development of their research career. The ICN2
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associated with the development of decompensated cirrhosis and its progression to ACLF as well as develop cutting edge diagnostic platforms for its prevention and monitoring. Main Tasks and responsibilities
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technologies for real-time health monitoring and diagnostics. About UCAM-SENS UCAM-SENS is a top-tier research unit dedicated to advancing (bio)electroanalytical sensing for digital transformation in healthcare
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platforms for sensing, energy conversion, and biomedical applications. About UCAM-SENS UCAM-SENS is a leading research unit dedicated to electrochemical innovation for healthcare, environmental monitoring
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well as preparing project deliverables and presentations. Summary of conditions: Full time work (37,5h/week) Contract Length: Temporary Location: Bellaterra (Barcelona) Salary will depend on qualifications and