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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
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related discipline Strong programming skills (e.g. Python, JavaScript or C++) Experience working with Generative AI technologies Experience deploying and integrating AI models across different platforms
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models that will work on spoken or sung voice input. Once your model works in Python you will re-code it, potentially as a plugin, to be easily usable in Unity. No previous art experience is required but
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technology-led strategic growth/product initiatives, particularly within the Market Research sector, Knowledge of database operations and data pipelines. Knowledge of python. About KTP: For 50 years, Knowledge
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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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arts or health settings Knowledge of the peer review process for research projects and journal articles Experience with bringing Python models into Unity Proficiency with Autodesk Maya modelling
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strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic
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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow