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the usability and user experience of the solutions - Prepare activity reports and scientific articles 4. REQUIRED PROFILE: Admission requirements: PhD student, with a completed master's degree The awarding
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generative models for the creation of human movement datasets for training AI models; - Prepare activity reports and scientific articles. 4. REQUIRED PROFILE: Admission requirements: - Master's student, with a
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for a maximum term of one year, in cases where the grant has been awarded to students who are enrolled in non-award courses, or up to two years, in the cases of students enrolled in a master's degree
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The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Frequency of a master in Computer
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requirements: - average grade in bachelor's and master's degrees above 15; 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises
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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be carried out during the grant is to design and implement storage optimizations to be incorporated into a new flexible and modular I/O
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studies. Subsequent data analysis, as well as writing articles and possible participation in conferences, will also be part of the activities. 4. REQUIRED PROFILE: Admission requirements: Master's degree in
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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be developed during the grant is the design and implementation of a new benchmarking tool for storage systems. It should allow
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domain in the design of deep learning algorithms for cardiovascular disease detection. 4. REQUIRED PROFILE: Admission requirements: Master's degree in Biomedical Engineering, Computer Engineering
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, in cases where the grant has been awarded to students who are enrolled in non-award courses, or up to two years, in the cases of students enrolled in a master's degree. Scientific advisor: Álvaro