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Field
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated
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degree, ideally a doctoral degree, in a relevant topic. The post requires strong quantitative skills with expertise in a common statistical package such as Stata/R and the ability to work with large
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R or Stata, are essential. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 30 June 2029. The post is funded by the Economic and Social
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statistics, and update skills in line with advances in the relevant subject area. Teaching: Coordinate R training for statisticians in the group. Plan and deliver training to other members of the trial unit
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to
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About the role - The candidate will focus on Gage Repeatability & Reproducibility (Gage R&R) validation of a new video scope inspection system for turbine blade assessment. The objective is to
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work