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diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
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, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Deep
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qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language e.g. Python/R. Desired
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with H1 or equivalent is required for Graduate Research admission. An interest in game theory, mathematical modelling and the study of cooperation. Good programming skills. Experience with machine
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with H1 or equivalent is required for Graduate Research admission. An interest in game theory, mathematical modelling and the study of cooperation. Good programming skills. Experience with machine
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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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; An interest in game theory, solid skills in mathematical modelling, and good programming skills. Project funding Other Learn more about minimum entry requirements .
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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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in either Python or C++ or any computer programming language Outstanding communication skills with fluency in both written and spoken English We support Women in STEM Project funding Project based scholarship Learn more about minimum entry requirements .
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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including