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devices. Minimum requirements: Advanced knowledge of machine learning models and Python tools for signal processing and machine learning. General knowledge of system architecture and APIs. Previous
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AND TRAINING: 1. Study and propose circuit architectures for the control of electronic devices (Schottky diodes, memristors), with emphasis on scalability and integration efficiency.; 2. Design
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/O library. Collaborate on managing the library's DevOps workflow (i.e., GitHub repository).; 4. REQUIRED PROFILE: Admission requirements: BSC in Informatics Engineering Student (or in a related field
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presentations for conferences, and supporting the preparation of technical reports.; 4. REQUIRED PROFILE: Admission requirements: Students in Bioengineering, Computer and Computer Engineering, Electrical and
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: Admission requirements: BSc in Biomedical Eng. or related areas. MSc student in Biomedical Eng. or related areas. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non
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and signal processing. Minimum requirements: Student in Biomedical Engineering or related areas. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation