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. Rector, published in Diário da República by Order No. 9157/2011 (II Series), of July 19 in its current wording. Workplace: The work will be developed at the Plant Physiology Laboratory of the University
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of application. Fully Funded Scholarships There are more projects than funded opportunities available, therefore this is a competitive application process. Prior to starting your application, you need to select
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the provisions of other applicable legislation and regulations, namely, the Research Grant Regulations of the University of Évora (published by Order no. 8131/2024, of July 22, 2024), and the Research Grant
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
December). Selection process Selection Methods The applicable selection method will be the curricular evaluation of the applicants. Evaluation Criteria The curricular evaluation comprises the following
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also indicate whether the supervisor intends to supervise the candidate as a doctoral student if he/she successfully completes his/her Master's degree. An appropriate form is available for this purpose
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scholarship initiatives Develops, teaches, and assesses workshops and programming in support of digital scholarship Staffs the digital scholarship service point Stays current on emerging trends in digital
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application. Selection process Selection methods: The selection method will comprise curriculum evaluation, with optional interview for clarification. The curriculum evaluation (0-20 points) will assess
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a more equitable educational system that in turn fosters a more equitable society. We strive to be a student-ready institution that supports and partners with students to promote discovery and growth
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your application. If you are planning a 2-year degree programme, you must indicate two years as the desired scholarship duration in your application. After the first year of study, your academic
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principles (k-space, pulse sequences, image reconstruction) Prior experience with MRI data analysis or medical image processing Familiarity with deep learning for image segmentation or detection tasks