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proficiency in both qualitative and quantitative research methods. Experience in data management and statistical analysis software such as Excel, STATA or R, along with qualitative analysis tools such as NVivo
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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the University’s research capacity in a globally relevant field. The role provides the opportunity to develop and publish a monograph based on Korean Studies-related PhD research or, if already published
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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attract international scholars, PhD students, and Research Fellows, contributing to innovative research that shapes the field. Ranked among the top 10 institutions in Econometrics, Time Series, and
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peer-reviewed publications, while providing senior-level expertise to support and mentor internal teams. A vital responsibility includes guiding emerging science-practitioners (Clinical Psychology PhD
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for publication. Familiarity with fMRI research methods or experience working with people with addictive disorders or mental health conditions will also be highly regarded. If you are motivated to advance your
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behaviour of limit cycles in planar polynomial vector fields, and/or exploring relative equilibria in gravitational systems. You will advance both theoretical and computational methods and play an integral
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and contribute to the preparation of manuscripts stemming from your work. If you have a PhD in organic chemistry, ideally with a background in protein chemistry or chemical biology you might be