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in statistics, biostatistics, data science, applied mathematics, quantitative social science, or a closely related field. Strong Proficiency in Python or R for statistical analysis, data management
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results across different data types and projects, and uncover biological patterns and insights. Strong collaboration and communication across the computational and experimental sides of the lab will be
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Office, NI LabVIEW, Python, MatLab Strong, interpersonal, written and oral communication skills. Required Licenses & Certifications: Driver's License Knowledge, Skills & Abilities: Experience supporting
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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
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around the modelling protocol: diagnostic checks of scenario submissions against the protocol, and documentation of harmonized assumptions and remaining differences across models Contribute to / develop
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and work closely with colleagues in the Immersive Learning Centre. You will need real technical depth: comfort with Python environments, command-line tools and model repositories, and a working
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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis
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Mitigation Policy and Requirements were updated in 2023, with a further update planned for 2030. Addressing this global concern requires not only models capable of projecting debris populations over different
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recordings of speech, breathing and cough, developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and