46 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Manchester Metropolitan University in United Kingdom
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: Technical, operational, and commercial knowledge of AI technologies (ChatBots, LLM, Machine Learning, Data Analytics, etc.) Knowledge of relevant legislative frameworks relating to Data Protection and
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Computer Science, Data Science, Computer/Information Management, Management Information Systems (MIS), Business Information Systems or a related subject. Skills: Strong understanding of data protection, security
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on how to apply can be downloaded at https://candidates.perrettlaver.com/vacancies quoting reference 8306. For an informal discussion, please contact Daniel Munks at Daniel.Munks@perrettlaver.com
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*Please do not apply for this vacancy via the university website* For further details, including the job description and person specification, please visit https://plusportal.perrettlaver.com/ quoting
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and deliver high-quality learning experiences across Levels 3–7, engaging and inspiring students to reach their full potential. You will play an active role in enhancing the student experience
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understanding of and experience with programming using Python for machine learning, C# and C++ Essential skills and experience: A PhD in computer science, AI, software engineering or a similar technical field, or
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and technical colleagues to ensure the data capability for CDDR is scalable, secure, and capable of supporting advanced analytics, machine learning, and large-scale data processing. Your expertise will
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: A broad skill set across multiple engineering disciplines, including but not limited to Laser cutting and 3D printing. Experience with milling machines, lathes and waterjet cutters desirable. A solid
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Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling The University is
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central to our mission, supported by state‑of‑the‑art facilities including digital and technical workshops, studios, and gallery spaces designed to enhance learning and collaboration. The School of Art and