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datasets (e.g. video, acoustics, clinical records) for predictive modelling and decision support. Proficiency in programming languages such as Python (and/or Java, C/C++), with hands-on experience using deep
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programming skills in at least one of the following (Python, MATLAB, Julia). Please ensure you read the Job Description and Person Specification for full details of this role, by clicking the 'Apply' button
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analysis of behavioural experiments Strong quantitative and programming skills, and knowledge of one or more relevant programming languages (e.g. Matlab; Python; R). Experience with, or an understanding
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histological experiments, measuring and manipulating neural signals using optogenetic and optical tools, and analyzing the resulting datasets using modern computational tools in the Python language. Key
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of scientific programming, e.g. with C++, Python, ROOT or similar. Informal enquiries to Professor Dave Charlton, email: dave.charlton@cern.ch View our staff values and behaviours here Use of AI in applications
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such as R, Stata, Python, or equivalent for data preparation and analysis. You have strong analytical and communication skills, with the ability to contribute to academic outputs such as research papers
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as database
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data analysis on Matlab. • Developing and using models to characterise the soft robots (both sensor and actuator). • Knowledge of programming (C/C++/python/MATLAB), using a prototyping board like Arduino
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computing (e.g. Python, MATLAB, or similar) for data processing and data handling Experience with data processing, analysis and interpretation Excellent interdisciplinary communication – Strong collaborative
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised