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data • Creation of benchmarks and evaluation frameworks for the systematic assessment of generative models in a clinical context • Supervision of doctoral researchers and master students within
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across a range of stellar masses and ages, with direct applicability to studies of planetary atmospheric evolution. Starting from the most active pre-main-sequence end of the cool star sequence, where
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for appointment in August 2026 to work on original research with Dr. Amir Erez and other faculty in the Department of Management on topics of Incivility and other dysfunctional work behaviors, emotions
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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sequencing. Collects, compiles, and analyzes experimental data. Documents and interprets results for reporting to principal investigators. Manages sample handling for in-house R&D experiments and production
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have opportunities to lead analysis and write up of original research articles, along with co-authorship opportunities for analyses led by mentees. Statistical expertise is necessary, as is familiarity
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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, and validation of causal inference models, working closely with the Principal Investigator, PhD student(s), and external stakeholders. The role includes methodological development, empirical analysis
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, implementation, and validation of causal inference models, working closely with the Principal Investigator, Co-Investigator, PhD student(s), and external stakeholders. The role includes methodological development
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to hire a Research Assistant/Technician 2 at 100% FTE to join the team. Organizational Status The Research Assistant will report directly to the Principal Investigator, Dr. Pieter Cullis. Work Performed