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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental
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pavement field performance data. A record first author publication in high impact civil engineering journals. Knowledge, Skills & Abilities: Proficiency in Python programming Database management skills
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, or Python. The studentship covers fees at Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants must cover the difference between Home and
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communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking
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variables. Experience with Matlab, Python... A demonstrable interest in atmospheric physics and offshore wind turbines. Good organizational skills and ability to work independently. Good command of written
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work; Experience with data analysis, such as statistics, data management, etc.; Experience in scripting/programming (e.g., R, Bash, Python); Strong interest in understanding human impacts on ecological
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programming skills in R and/or Python Documented experience with exercise testing (e.g., testing of maximal oxygen uptake) and/or supervision of exercise training in healthy individuals or patient groups
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provides a robust alternative for visual attribution. The model tracks unique body movements and postures to create a “gait signature” that can be used to match individuals across different camera feeds
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for detection purposes, this project also involves collecting and/or generating different datasets for experiments. Required knowledge Python programming Machine learning background