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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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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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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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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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++, Python, ROS/ROS2) A strong track record of writing and maintaining technical program documentation and operational procedures. Expertise and experience in using AI approaches for automating navigation and
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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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with RTDS/RSCAD, real-time simulation or hardware-in-the-loop set-ups. Software development skills: Python, C, scripting and automation, version control, testing. Expertise in one or more of: converter
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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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or python. An interest in evolutionary biology, comparative genomics or the biology of early-diverging animals would be beneficial, although applicants primarily trained in molecular pharmacology, cell
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Divergence (MIND) approach for estimating structural similarity networks, which enables robust structural brain networks to be derived from T1-weighted images alone and has already been shown to be sensitive