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openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
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combination of training and experience. Relevant experience in program development, implementation, and oversight in a university research setting. Position Details: This position is located on the Troth Yeddha
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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Photovoltaic (PV) power is crucial for advancing global energy sustainability, as it harnesses abundant and renewable solar energy to generate clean electricity with minimal environmental impact. By converting sunlight directly into electricity, PV systems decrease greenhouse gas emissions,...
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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awarded on a rolling basis, so apply early for the best opportunity to be considered. How To Apply Apply online by clicking the 'Apply button, above. Select programme type (Research), 2025/26, Faculty
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applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select PhD in Computer Science on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and
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increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
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responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and completing documentation of experimental data in a timely fashion. Assists with monitoring inventory