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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning
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for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images
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and phase I/II clinical trials. About The Role The role involves developing and managing the research work programme in collaboration with project leads and refining the project protocol alongside
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to the successful candidate, and the postdoctoral fellow is encouraged to develop their own research ideas and strategies within the framework of the project. The postdoctoral fellow will manage the project
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category: The type of scholarship to be awarded is: Degree courses: Research grants (BI) are intended for I&D activities by masters enrolled in a PhD. Requirement for granting the fellowship: The applicants
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written and presentation skills Good IT skills Desirable criteria Post-graduate qualification or PhD in a subject relevant to cardiovascular research Experience in cardiovascular research management
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow To design and advance
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inter-personal skills with an ability to work collaboratively, and help others with ongoing projects High level analytical capability Understanding of and ability to contribute to broader management
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
, Continuing (contingent funded) This position is continuing (contingent funded). The funding that supports this project has an expected end date of 29 June 2028. Position Description and Selection Criteria: PD