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primary cell culture is desirable. Excellent oral and written communication skills with relevant computing and data analysis skills. Proven commitment to proactively keeping up to date with discipline
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
groups, collecting, maintaining and analysing qualitative and quantitative data and contributing to dissemination of research findings (including publications). About The School The School of Psychological
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for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students
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of Dr. Richard Lester, MD, FRCPC, the Postdoctoral Fellow will lead a research program titled: Advancing Patient-Centered AI: Validating NLP Models Using Clinical and Communication Data in British
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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address the "advantages" mentioned above, as these will be taken into account when ranking the candidates. the names and contact information for two referees. One of these should be the main advisor
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targeting translation inhibitor sensitive RUNX1 mutations in chronic myeloid leukaemia’. You will work independently to produce high quality experimental data in the laboratories of the Biochemistry
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load from YouTube. Accept
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
or limited multivariate analysis. However, the increasing dimensionality and complexity of analytical data demand AI/ML-based frameworks capable of learning nonlinear, high-dimensional relationships between