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English English requirements 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
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, industry engagement and stakeholder partnerships. Building strong interdisciplinary collaborations across academia, government and industry to increase research impact and translation. About you A PhD in
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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the use of fish parasite sedaDNA as an additional methodology, d) trial other primers for fish and e) use non-amplicon sequencing on selected sites and samples. This PhD project will build on work already
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manuscript preparation. The Postdoc will work under the direct mentorship of principal investigator (PI) Wen-Xing Ding, PhD, Professor in the Department of Pharmacology, Toxicology, and Therapeutics (PTT
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requirements 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
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problems, scale solutions, and drive impact. Real Learning for Real Impact. To reinforce our team, we are looking for a Research Fellow: Natural scientist or engineer wanting to make a difference in
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their applications. A description of the requirements and expectations for mentors can be found here: https://presidentspostdoc.umich.edu/mentors.php About UM-SSW The faculty of the University of Michigan School
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education, spearheading groundbreaking research, and delivering unparalleled professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Fellow to develop
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
aims and themes of the Discovery Project. In particular, the Postdoctoral Fellow will aim to build the theory that quantifies the trade-off between fairness level and statistical accuracy within a