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150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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human behaviour, influenced by people’s social connections, and resources. Predicting disease spread is difficult due to factors like parent’s age, ethnicity, socioeconomic status, and nursery layout
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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exercise science, human nutrition, human physiology, biochemistry, food science or a related subject. A relevant Master’s degree and/or experience in one or more of the above subjects will be an advantage
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Engineering, Mechanical Engineering or related subjects. Funding and Eligibility: UK only Key Information Supervisors: Professor Tony McNally
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Type of award Studentship Managing department Faculty of Humanities Value The award can cover fees, living expenses (bursary) and specific research costs. Specified use This award provides funding
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characterisation would be advantageous. A driven individual with an inquisitive mind. Contact: Informal inquiries should be sent to Dr. Dan Reed d.reed@bham.ac.uk, Professor Arun Bhattacharya – a.bhattacharya.1
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the