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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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for undergraduate students. Interview and supervise student assistants in the project. Job Requirements (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in
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, data science or mathematics OR a good Honours Degree and an appropriate professional qualification and/or membership PhD or active membership of an appropriate professional body is advantageous. Our
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies of statistics, logic and machine learning
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an approved educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start
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Research Fellow in Machine learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine learning connected to the Scientific Computing and Machine Learning
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to the scientific community Job Requirements: PhD in chemistry, physics, material science, computer science or an allied field Experience with quantum computing frameworks, specifically Pennylane and Qiskit
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, Computational Science, Applied Mathematics, or a related field. Soft skills Critical thinking and problem-solving, Collaboration and teamwork, Good communication, Time management and self-motivation Hard skills