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Field
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precise optimisation of their stability and structure, both of which play a crucial role in their functionality and efficacy. While mRNA technology holds immense potential, optimizing sequences remains a
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However,...
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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of Machine Learning as the problem of approximating function f from the pair of measurements (x,y), and Optimization as the problem of finding the value of input x that maximizes the output y given
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, in the Faculty of Business & Law at Curtin University, is seeking one (1) doctoral applicant (PhD) to join an Australian Research Council [ARC] Discovery Project, namely: Optimizing Benefits
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Explore the asymptotic behavior of MML estimators, including consistency, convergence rates, and their connection to information geometry. Investigate how the optimal data space partitioning relates
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frameworks in Australian higher education, with demonstrated ability to deliver and optimize interventions that improve outcomes for students from underrepresented backgrounds, particularly low SES, Indigenous
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detailed component designs using appropriate frameworks. Advise on system integration, ensuring compliance with technical and security standards. Collaborate with delivery teams to ensure optimal, fit
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discovery. Your key responsibilities will be to: contribute to the design and development of research protocols, ensuring timely execution of research activities develop and optimize new techniques
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to simulate key optical features and explore optimal alignment of beamline components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment