13 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Mathjobs" Fellowship positions at The University of Queensland
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to March 2027 Base salary will be in the range $106,293.57 - $113,659.72 + 17% super (Academic Level A) Based at our St Lucia Campus About...
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effectively within a multidisciplinary research environment. Experience with quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative
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This Opportunity Are you passionate about shaping the future of healthcare education and workplace learning? Join UQ Medical School as a Postdoctoral Research Fellow/Research Officer and play a
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cutting-edge bioinformatics, AI, machine learning, and multi-omics technologies to drive discoveries that have the potential to transform cancer diagnosis, treatment, and patient outcomes. This is an
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apply mixed-model statistical methodology, including genomic prediction, crop simulation and machine learning, to improve prediction of crop yield and related traits. Supervision and Researcher
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management systems, workflows and research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to
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of sorghum agronomy, integrate agronomic, survey and decision data using qualitative, mixed-method, statistical and machine-learning approaches, and translate findings into transparent and practical
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. Teaching: Participate in teaching activities as required, delivering high-quality learning experiences and continuously improving teaching practices in response to student feedback. This is a research
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, delivering high-quality learning experiences and continuously improving teaching practice in response to student feedback. This is a research focused position. Further information can be found by viewing
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dynamics, stability analysis, renewable energy integration, or related areas. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power