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Field
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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- to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways
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development work. Work within a research team/group. Optimisation of procedures and methods of investigation. Active publication activity (peer-reviewed journals) and presentation of research results. Actively
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Post-embryonic development and anatomy of the zebrafish inner ear School of Biosciences PhD Research Project Self Funded Prof T T Whitfield, Dr E Noel Application Deadline: Applications accepted
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, focusing on the role and mechanism of CRISPR-associated nucleotide signaling. We also aim to develop innovative tools for fast and sensitive nucleic acid detection and the diagnosis of human disease, using
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: Possible research topics involve developing and using advanced electronic structure, quantum dynamics and enhanced sampling methods to study photochemical reactions in biomolecules. The successful candidate
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the environment. For example, there is work quantifying the natural hazard protection value of natural lands, developing new approaches for accounting for ecosystem services in environmental policy, and
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; The Okinawa Institute of Science and Technology Graduate University was established in 2011 to contribute to the development of science and technology worldwide and to serve as a hub of innovation in Okinawa
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modelling efforts. Duties include running and analysing experiments, developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected