35 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Lancaster University
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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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have the opportunity to teach on our English and Study Skills modules, which is part a four-year degree programme for Chinese students, leading to a dual award from both institutions. There are four
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internships. The role will involve developing relationships with employers to encourage their support of student experiential learning opportunities including work shadowing, insight days, internships, and
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Pension Scheme A comprehensive benefits package including car leasing, additional leave purchase, a cycle-to-work scheme, on-site pre-school centre and sports centre
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and fair and promoting diversity, we build strong communities by working effectively together in a supportive way and we create positive change by being ambitious in our learning, expertise and action
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staff and students across the University. The role reports to our Senior Developer. This role offers the opportunity to learn and develop while contributing impactful change to a key University service
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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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to encourage employer support of student experiential learning opportunities (i.e., work shadowing, insight days, internships, placements), graduate training contracts and events. You will have recent, relevant
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will be required to have excellent communication and interpersonal skills. You will be trained in procurement and will learn to provide procurement advice in accordance with the University's Financial