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. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing processes, and lifecycle. With DPPs, parties
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques
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(DPPs) has become a regulatory priority. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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Department at Monash has a thriving research culture, and is ranked 33rd in the world in the latest QS rankings. Candidate Requirements The successful applicant will have an excellent academic track record in
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, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science