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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences and skills of the successful
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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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analytical and statistical approaches and in setting the direction of the research project, with novel research ideas. It is essential that you currently hold a PhD in a related field (e.g. genomics
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inorganic materials synthesis, heterogeneous catalysis and advanced analytical techniques including synchrotron radiation experiments. Applicants should also have experience in catalyst production systems
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to coordinate research activities and meet deadlines in a fast-paced research environment are essential together with strong analytical skills and the ability to interpret complex data. You will have excellent
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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data
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-reviewed journals and at conferences. You will have a proven ability to act as a source of information and advice on specialist methodologies or analytical approaches. A forward-thinking, collaborative