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and instruction. relAI scholarships are intended to support outstanding students and PhD candidates who are studying AI related subjects so they are able to focus on their studies. relAI offers a cross
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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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applications for 1 research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree, within the framework of project with the reference LA/P/0095/2020, financed by Foundation
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of the funding allocated to CIPER’s 2025–2029 Plan. Applicable laws and regulations: Law No. 40/2004, of August 18 (Statute of the Scientific Research Fellow), as currently in force; Regulation No. 950/2019
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. The scholarship programme is currently open to applicants from 183 countries. Scholarship Types Overview (max. age: 35 / funding: CHF 2450.--/month) target group main requirements max. duration Research PhD
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development. Target Group PhD students and students in the final year of a Master's degree with a strong focus on research topics combining digital technology and sustainability Academic Requirements current
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business from a recognized university. A PhD in science, engineering or business from a recognized university may be considered an asset. For information on certificates and diplomas issued abroad, please
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an Honours degree with First Class or 2A Honours (or an equivalent qualification), or a Master’s degree in Geotechnical Engineering, Rock Mechanics, or Mining Engineering; • have applied to, or be currently
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of microbial biofilms, extrapolymeric substances and metabolic activities under a range of substrate conditions. This project aims to significantly advance the current perceptions and knowledge by developing new
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techniques to these domains; Enrollment in a Master. Work plan and goals to achieve For the European cooperation project ENHANCE we are looking for a PhD or Non degree course students to analyze and model