164 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University College Cork
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semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management
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Heritage Post Duration: 18 Months, Part -Time Post (0.8FTE) Salary: €33,791 - €43,872 p.a. pro rate (0.8FTE) (IUA Salary Scale) For an information package including further details of the post see https
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process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion of the process. Informal enquiries can
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Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Prof John F. Cryan, Professor, Dept Anatomy & Neuroscience
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in children. Post Duration: 24 Months, Part-time (0.5FTE) Salary: €46,905, per annum, Personal Rate, pro rata (0.5FTE) For an information package including further details of the post see https
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom
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across a wide range of research projects. This role requires excellent communication and interpersonal skills, computer literacy, and data management. He/she is a key member of the project team and should
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: 48 Months, Full-Time Post Salary: €46,805 - €53,391 p.a. (IUA PD1 Salary Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made
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essential. Project Title: Newborn Brain Test Post Duration: 12 Months Salary: €77,500 gross p.a. Personal Rate (pro rata 0.8 FTE) For an information package including further details of the post see https