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important structure–activity relationship (SAR) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies
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experimental and operational data, evaluating machine performance, and preparing high-quality technical reports for industrial partners. The Research Fellow will also be expected to contribute to the wider
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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
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Status: Open for applications The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners
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(including full contact information) 2. At least two letters of recommendation 3. Copies of published research papers 4. Statement of research Contact Information Emmy Ceballos 150 Western Avenue, SEC 2.401
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of SGLT2 inhibitors using mice models of kidney diseases. Contributing to the development of uremic toxin measurements in mice and human. Collaborating with faculty and staff on research design, data
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data
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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