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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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preparation methods, analytical analysis, experiments, analyzing chemical datasets, and synthesizing results to advance project objectives. Work will directly contribute to publications, project reports, and
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Therapeutic Interventions. Other key research areas of the professorship include: Evidence-Based Psychotherapy Digitalization, e.g., AI, in Psychotherapy The Use of Psychological and Neuroscientific Methods in
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designing and conducting MR experiments, developing pulse sequences and experimental methods, modeling spin dynamics and relaxation, analyzing data, and interpreting the underlying physical mechanisms
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modelers, epidemiologists, and economists. Development, calibrate, and extend of microsimulation and compartmental models of tobacco use and lung cancer in R. Receive training in modeling methods
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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glucokinase abnormalities in type 2 diabetes. Recently, the team has applied isotope dilution methods to study pancreatic alpha cell dysfunction and steroid metabolism in diseases like steroid-induced diabetes
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partners. Responsibilities will include designing and conducting experiments, developing slurry-based processing methods, building and operating materials recovery systems, analyzing material transport and