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science, to deliver molecular mechanics force fields that bridge the gap to quantum mechanical accuracy for biological modelling and computer-aided drug discovery. They will develop electrostatic embedding
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Sciences with strong teaching and research links to colleagues in medicine, biomedical sciences, dentistry, psychology and chemistry, alongside our three research institutes. Prospective applicants who wish
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Qualifications Essential The candidate should have a Bachelor's degree in computer science or equivalent Candidate must have experience in using LiDAR data for autonomous vehicles or an equivalent application
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Qualifications An undergraduate degree (or equivalent) in a relevant science subject, such as chemistry, physics or materials science A Ph.D. in the field of computational chemistry or materials science or a
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multi-disciplinary team Strong communication skills, both written and verbal Qualifications PhD Awarded (for the position as Research Associate) in Mathematics or Statistics or Computer Science
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benefits from being an integral part of the Faculty of Medical Sciences with strong teaching and research links to colleagues in medicine, biomedical sciences, dentistry, psychology and chemistry. The
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benefits from being an integral part of the Faculty of Medical Sciences with strong teaching and research links to colleagues in medicine, biomedical sciences, dentistry, psychology and chemistry. The
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resources, including software, reports, and online content such as interactive podcasts The Person Knowledge, Skills and Experience The candidate should have Bachelor degree in computer science or equivalent
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Surgery. You will be required to become actively involved in the teaching and research programmes of the School of Dental Sciences and potentially across the Faculty of Medical Sciences and University. In
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for two experienced Transformation Workstream Leads. You will lead the successful delivery of strategic transformation initiatives within a university-wide programme, ensuring that each workstream achieves