26 phd-studenship-in-computer-vision-and-machine-learning Master positions in Portugal
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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in Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis
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does not exceed the final date of execution of the respective project Offer Starting Date 10 Mar 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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The scholarship lasts for 9 months, as long as it does not exceed the final date of execution of the respective project Offer Starting Date 10 Mar 2025 Is the job funded through the EU Research Framework Programme
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» InformaticsEducation LevelBachelor Degree or equivalent Skills/Qualifications Mandatory requirements: Computer Science BSc. Be enrolled in a Computer Science MSc. Preferential factors: • Expertise in machine learning
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Description Offer description: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project
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factors: - Completion of curricular units in Machine Learning and Deep Learning - Experience, at the level of preparatory research work f or obtaining the Master's degree in Computer Engineering, in Medical
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models Additional Information Benefits
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Learning and Deep Learning - Experience, at the level of preparatory research work for obtaining the Master's degree in Computer Engineering, in Medical Large Language Models. Additional Information Benefits
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/2025 Scientific area/research field: Computer Sciences Researcher profile: First Stage Researcher (R1) Admission requirements: Bachelor's degree in Computer Engineering or related fields; Candidates