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algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts to translate AI to routine use are emphasized Highly motivated with
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significant research experience and deep familiarity with AI algorithms Significant experience and publication on AI and image processing Experience with foundation models, explainable AI and/or efforts
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characterise long-period radio transients. Conduct multiwavelength follow-up (e.g. optical, NIR, X-ray) to assess the properties and nature of detected sources. Perform evolutionary and population modelling
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variants in immune cells. The postdoc will develop flow cytometry-based molecular and functional assays using in vitro cell models (cell lines, primary cells, and iPSC-derived cells), perform genome-wide
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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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candidates should be highly motivated, have research skills with CRISPR functional genomics, disease animal models, flow cytometry or metabolomics analysis, and have effective communication skills as
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Current UC employees must apply internally via SuccessFactors Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to 53,235 students
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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quality outputs To be successful in this position, you will have: Must be an Australian citizen or permanent resident currently residing in Australia. Expert level capability and system development
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-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department