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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. select ‘PhD Electrical and
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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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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
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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 select Electrical and Electronic
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Title’ using the programme code: Choose from here: 8090F select ‘PhD Mechancial and Systems engineering (full time) - MECH8090 (FT)' as the programme of study You will then need to provide the following
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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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experience with experimental design, eye-tracking, data analysis, and coding (e.g., R, Matlab, Python) are highly desirable but not essential. The project will be supervised by Dr George Malcolm and the
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, producing deployable proof-of-concept code and technical write-ups Design and execute experimentation in small teams (with guidance from senior staff) Present and document work for reuse Work at pace using
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PyTorch or TensorFlow. Experience with ROS or ROS2 for real robot software integration. Proficient in Python and C++, with experience in writing production-level code. At least 2 years of experience in
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calmly and efficiently under pressure 7. Good teamwork skills. 8. Confident in delivering training sessions to the team. 9. Good understanding of safe working practices including COSHH and colour coding