38 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Lancaster University in United Kingdom
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mountains and coastline. Find out more about our employee benefits and life at Lancaster on our website - https://www.lancaster.ac.uk/jobs  ; Contract and contact This post is offered on a full-time
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knowledge areas include cyber-security, applied machine learning and data mining, intelligent video analytics, natural language processing and artificial intelligence, autonomous learning and dynamically
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and
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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging
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of Computer Science topics, such as programming languages, software engineering, distributed systems, or human-computer interaction. Colleagues joining LU Leipzig’s computer science department will be
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and
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of the Local Government (occupational) Pension Scheme, alongside a variety of other benefits such as car leasing, additional annual leave purchase, a cycle-to-work scheme, on-site pre-school centre and sports
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research intelligence. As a member of the Library Management Team you will contribute to leadership and development of the Library and Learning Development in support of the Library’s vision, The Library
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also value highly the ability to learn rapidly and to adapt to new technologies beyond your current skills and expertise. Working seamlessly as part of an interdisciplinary team spanning academia and