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in LIBS systems.; • Develop algorithms for correction and compensation of galvanometric scanning, ensuring accurate spatial correspondence of LIBS data.; • Implement automated pipelines for LIBS data
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description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
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databases. Experimental evaluation of algorithms, development, and deployment. Support in data collection and documentation of the work performed. 4. REQUIRED PROFILE: Admission requirements: Bachelor’s
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validation of artificial intelligence models. Support in the acquisition and management of data collected by the group in a clinical or laboratory setting. Experimental evaluation of algorithms, development
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-spectrometer synchronization, and spectral analysis algorithms, contributing to prototype validation in geological case studies. Objectives: - Develop and validate the galvanometer scanning system.; - Implement
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.pdf JOB ADVERTISEMENT Recruitment of 1 Doctorate in the field of Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems INESC TEC
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of programming and developing algorithms for interpreting georeferenced data.; - Demonstrated experience in using virtual choreographies for Digital Twins; Minimum requirements: - Master's degree average above 16
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. OBJECTIVES: To develop and validate novel algorithms for the detection of cardiovascular findings in chest computed tomography images and reports based on vision-language frameworks. To collaborate with
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technological dissemination initiatives, particularly in the field of Physical or Electrical Engineering . Development of algorithms, support for the installation of the DAS, and real-time event monitoring. WORK