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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development
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) using a beam blanker to solve important problems in materials science. The position will develop and apply methods using an aberration-corrected FEG-TEM with beam blanker and pixelated, single electron
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problems in condensed matter physics and materials science. The successful candidate will exploit aberration-corrected FEG-TEMs with tailored electron-optics and pixelated, single electron detector systems