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collection methods. You’re skilled in developing computational models and deep neural networks that reflect principles of human cognition and brain function. Your academic record includes high-quality peer
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equivalent experience. A passion for research that makes a difference and influencing public policy discourse. Demonstrated expertise in data analytics and econometrics methods and their application to real
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an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant
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the traditional food chain. You'll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local communities, industry stakeholders, and
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soils and food products, including the traditional food chain. You’ll also play a key role in shaping methods for sample collection, analysis, and data interpretation, working in partnership with local
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experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
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Development Institute). The Research Fellow will develop AI-based methods that support fine-grained weather analysis for sectors such as wind resources and prediction under climate change. In close
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, biostatistics, public health, with a strong component in epidemiology and biostatistics, or a related degree Research experience in terms of publications in high quality journals, attraction of external