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source and keeps it compressed throughout its lifecycle. Pioneered by AU, these advanced compression techniques allow for on-the-fly data compression, support analytics and machine learning (ML) without
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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neuroscience. You must hold an MD or an MSc in a relevant field, e.g., neuroscience, biomedicine, pharmacology, biomedical engineering, human physiology/biology, computer science and can demonstrate genuine
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work