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(Python or equivalent) is desirable but not required. How to apply Applications should be submitted via the Physics PhD programme page. In place of a research proposal, you should upload a document stating
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honours degree or equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), Background in aerospace, computer science, robotics, or electrical
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. R or Python), an interest in health data science, and enthusiasm for interdisciplinary research aimed at improving patient outcomes. Applicants must meet the University of Cambridge entrance
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, Economics, Business Analytics, Data Analytics, Energy Finance, Accounting, or a related field is desirable. Experience with empirical research methods and programming languages such as Python, R, Stata
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following would be advantageous: Programming in Python, R or a comparable language. Using machine-learning frameworks such as PyTorch, TensorFlow or scikit-learn. Working with audio, video, behavioural
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following would be advantageous: Programming in Python or a comparable language. Using machine-learning frameworks such as PyTorch or TensorFlow. Working with image, video, time-series or sensor data
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) in a relevant technical or research-focussed field. Proficiency in at least one systems or game-relevant programming language (e.g. C++, C#, Python). Experience working with established game engines
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare | Bioacoustics | Precision Livestock
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background in at least one of the following: Photonics/Electromagnetics theory, design and simulations Nanoscience Visual neuroscience or opthalmology Programming skills (Python, MATLAB, or similar) Strong