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: · search for the ‘Course Title’ using the programme code: 8060F · select 'PhD Electrical and Electronic Engineering (full time)' as the programme of study You will then need to provide the following
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘PhD Mechanical Engineering (full time) – 8090F' as the programme of study You will then
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Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘PhD
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: search for the ‘Course Title’ using the programme code: 8040F select ‘Civil Engineering PhD (full time) – 8040F' as the programme of study You will then need to provide the following information in
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the ‘Apply’ button above. Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F
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About the Role We’re looking for a Full-Stack Developer who thrives in an AI-native environment - someone who embraces code generation, intelligent tooling, and automation as the norm, not
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budgeting, coding changes, and process improvements About you: We’re looking for someone who combines technical expertise with strong interpersonal skills: Essential Criteria: Part-qualified with a
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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isotope ratio mass spectrometry), molecular biological approaches (genomics, transcriptomics) and coding (R, Python etc.); use compound specific and bulk isotope analysis to determine the flow of N in soils
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries