42 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Lancaster University
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experience of machine learning, multiwavelength imaging and data analysis are encouraged to apply. Prospective candidates are encouraged to contact Dr John Stott (j.p.stott@lancaster.ac.uk ) for further
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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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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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. The role will focus on delivering high-quality teaching across core computer science undergraduate modules including Human Computer Interaction (HCI). Background skills in Software Engineering and/or
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life and prepare them for future study. You will work with participating students to monitor their progress and provide constructive feedback to maximise their learning so that they are able to achieve
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questions, please contact Noeleen Hammond Jones, Deputy Head of LUMS Careers (Work Related Learning) n.hammondjones@lancaster.ac.uk or Rory Daly, Head of LUMS Careers, r.daly@lancaster.ac.uk We welcome
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flights included in the remuneration package. The accommodation is conveniently located near the teaching campus with amenities nearby. You will have the opportunity to teach accounting and finance modules
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. • Excellent proficiency in Microsoft Office and a willingness to learn new systems. • A curious mindset and commitment to personal and team development. • A flexible, team-oriented approach. Lancaster