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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" Research theme: "Materials Characterisation" "Data Science and Machine Learning in Materials" "Plastics
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teach you many translatable skills and knowledge from the fields of sleep medicine, sleep physiology, statistics, artificial intelligence, and psychology for example. A very significant and specific
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/MSc degree or equivalent in Mechanical, Aerospace Engineering or other related courses. The University of Sussex believes that the diversity of its staff and student community is fundamental to creative
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aspects of the cultures associated with the languages we teach (Danish, Dutch, French, German, Icelandic, Italian, Norwegian, Old Norse, Portuguese, Spanish, Swedish). Our taught programmes are innovative
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researcher with expertise in communication, project management, and leadership. You will build a robust national and international network and acquire advanced knowledge essential for implementing critical
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, immunology, molecular biology, or a related field. A master degree (MSc or MRes) in a relevant subject is desirable but not essential. Essential criteria: background in cell biology, immunology, or molecular
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning