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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis
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, operation, and maintenance of network and communications infrastructure (e.g., BGP, MPLS, wireless LANs, IP Telephony, disaster recovery). Experience with scripting (e.g., Python, NodeJS, PHP) to achieve
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
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decision modelling optimisation, stochastic modelling, or control-inspired analytical approaches strong programming skills in Python and familiarity with modern computational toolchains a clear interest in
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/ Proven teaching proficiency and curriculum development in the following areas: Cyber Security and Cloud Technologies Artificial Intelligence and Data Science Programming (Python, Java, C/C++, Web) 4
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally