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to it. Those three problems need three different answers, and routine NHS data can tell them apart. This is a 12-month post in the first instance, with scope to extend. It runs from a review of the
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include: - Extension to radio and optical diagnostics to test different interaction scenarios - Extension to low mass binary interactions at optical wavelengths - Development of empirically motivated models
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reduces the reproducibility of scientific research, as different researchers make different decisions. A Bayesian multiverse is a systematic way of reducing these adverse effects and aims to make
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Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where
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. Assist in the preparation of research proposals at different levels. Perform data analysis and engage with stakeholders to support project objectives and effective communication. Job Requirements: A PhD
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microbiology, bacterial genetics, CRISPRi approaches, and bioinformatics analyses to identify the molecular and genetic determinants underlying strain-to-strain differences in stress responses. In particular
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. PostDoctoral Position : Image-Based Drug Screening Against Bacterial Pathogens Mission A
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, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a
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Huntington’s disease neuroimaging machine-learning models. The position will design, build and document a responsive, serverless platform enabling Python-based models, including scikit-learn, LightGBM and