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. The studentship is only available to candidates eligible for Home student status. Applicants should check their eligibility before applying and clearly confirm their eligibility in their CV and personal statement
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Date: 21 September 2026 - 23:59 Eastern Time For more information on career tools and other resources, check out Career tools and resources *If you are currently a term or continuing employee at NRC
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invitations by September 25th, 2026. If you have any questions about the online application form, please check the frequently asked questions or send an email to [email protected] . If you have any questions
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fields may be considered. Your education must correspond to a five-year Norwegian Masters, where 120 credits have been obtained at master's level. You must have a strong academic background from your
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 2 months ago
outstanding academic achievement. Their curriculum vitae should reflect their particular skills and motivation. Language requirements Applicants must provide proof of their English skills (university level
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Prize John and Allan Gilmour Research Award (Science) Application is required. Check eligibility Key scholarship details Application status Open for applications Applications open 1 Jun 2026
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references who can provide letters of recommendation. A knowledge security check can be part of the selection procedure. (for details: national knowledge security guidelines )
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the application button and upload the following five items: Cover letter, maximum one page and 400 words, explaining your motivation for the position and your fit with the research topic. CV, including education
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. Strong publication record. No application will be considered unless it is accompanied by documentary proof of fulfilment of the requirements. Original documentation shall be submitted only by the person
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check the minimum entry requirements for the PhD . Applicants must also satisfy Monash’s English Language Proficiency requirements; Demonstrate knowledge of machine learning, medical image analysis