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Applications close 24 Mar 2026 Benefit amount Up to $20,000 Eligible study level Graduate coursework Eligible student type Domestic students Eligible study stage Current study Benefit duration One or more years
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excellence, but also aims to improve internationalisation and diversity in AI related teaching programmes. Target Group highly qualified (current or prospective) Master's students who have achieved excellent
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scholarship enquiries, please fill out our online enquiry form . If you are a current student with scholarship enquiries, please submit an online enquiry form .
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close 8 Mar 2026 Benefit amount Up to $5,000 Eligible study level Graduate coursework Eligible student type Domestic and international students Eligible study stage Current study Benefit duration One
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2026 Benefit amount Up to $5,000 Eligible study level Graduate coursework Eligible student type Domestic and international students Eligible study stage Current study Benefit duration One-off Summary
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of the University of Trás-os-Montes and Alto Douro - Dispatch RT.36/2011, of July 6, of Mr. Rector, published in Diário da República by Order No. 9157/2011 (II Series), of July 19 in its current wording. Workplace
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
/Qualifications Admission Requirements:To be enrolled in the master degree of Electrical Engineering, Mechanical Engineering, or any related area. Additional Information Benefits Monthly maintenance allowance
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
. The candidate(s) may also be required to apply data fitting algorithms/machine learning algorithms to link models to biological data from the literature. The project integrates elements from dynamical systems
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and develop new technologies concering statistics; • Good computer skills from the user's point of view; • Knowledge in the areas of biochemistry and microbiology; • Excellent knowledge
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value candidates with interest and/or experience in the following areas: a) Understanding of machine learning techniques, with interest in exploring algorithms such as regression, decision trees, Random