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with real-time simulators (e.g., OPAL-RT).; Minimum requirements: ▪ Master’s degree in Electrical Engineering or a related field; ▪ Applicants must either already be enrolled in a PhD programme or be
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in Electrical Engineering or a related field; ▪ Applicants must either already be enrolled in a PhD programme or be available to enroll in a PhD programme at the earliest possible date; ▪ Average grade
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and optimize LIBS mapping methods.; - Support the development of signal-analysis software.; - Conduct performance testing and validation in case studies. Academic Qualifications: Master's Degree
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learning methods; Experience with multivariate time series. Minimum requirements: Enrollment in a master’s program in Computer Science or a doctoral program in computer engineering or a related field, or in
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of the art in the specific scientific field covered by the fellowship; - Identify and select appropriate methods for the study in question; - Develop research skills through the application of the selected
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/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: • Develop software routines for automation of spectral and spatial data acquisition
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
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and related fields. REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in Computer Science or a related scientific field and have a scientific and professional
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settings and wearable systems. This position aims to research and develop methods for processing physiological signals, including electrocardiograms and other wearable sensors, for subsequent application