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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics and Engineering and is looking to recruit a full
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About us This is an exciting opportunity to join the Education Team as the Digital Education Manager in the Faculty of Natural, Mathematical and Engineering Sciences (NMES), at King’s College London
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Department: School of Mathematical Sciences Salary: £31,421 - £38,165 per annum (Grade 3) Reference: 2329 Location: Mile End Date posted: 15 May 2024 Closing date: 16 June 2024 Further details and
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About us This is an exciting opportunity to join the Education Team as the Digital Education Manager in the Faculty of Natural, Mathematical and Engineering Sciences (NMES), at King’s College London
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Job id: 090085. Salary: £43,205 - £50,585 per annum, including London Weighting Allowance. Posted: 24 May 2024. Closing date: 16 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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St George’s is looking to recruit a Senior Planning Officer, who will contribute to policy development and provide analysis and briefing papers to support the University in achieving its strategic objectives. The Planning Office plays a crucial role in supporting the university, particularly in...
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Morley College London, a premier adult education institution, invites applications for the position of Sessional Lecturer - Jazz within our thriving Jazz Department. Why Morley College London? Dynamic Jazz Department: Shape jazz education by contributing to the success and expansion of our Jazz...
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teaching and supervising graduate students, as well as the ability and flexibility to teach across a range of topics in probability theory and its applications and mathematics and statistics in general at
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: -GCSEs in English and Mathematics at Grade C or above -Experience of working in a service delivery environment -Experience of working collaboratively in a team environment -Strong data analysis and
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or journals in the field. Experience in energy systems, mathematical optimisation, applied mathematics, and/or process systems engineering. Strong knowledge of optimisation methods and implementations