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View All Vacancies Chemistry Location: Bailrigg, Lancaster UK Salary: £25,138 to £28,759 (Full time, indefinite with end date) Closing Date: Sunday 31 March 2024 Interview Date: Monday 22 April 2024
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University invites applications for a Post-Doctoral Research Associate to work on a collaborative EPSRC Programme Grant, ‘Quantum engineering of energy-efficient molecular materials’, (QMol). The QMol project
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the Social Sciences, and the remainder were pursuing degrees in Science and Technology or Health and Medicine. The 4-week Pre-sessional English programme The 4-week PSE caters for international students
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, Environmental Engineering, Accounting & Finance and Business Studies. Main duties of this role are: to deliver student-centred classes incorporating opportunities for developing independent learning skills
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aware of all current housing legislation affecting tenants and landlords. Knowledge of tenancy contracts, a great problem solver with the ability to maintain attention to detail and time management skill
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forward and make an impact. You must have (or close to obtaining) a PhD in Engineering, Physics or Material Science or a closely related subject. A strong background in energy harvesting, vibrations, FEM
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application focus in areas including (though not limited to): epidemic modelling; systems modelling in biological, environmental, and ecological systems; areas of manufacturing and materials engineering; and
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application focus in areas including (though not limited to): epidemic modelling; systems modelling in biological, environmental, and ecological systems; areas of manufacturing and materials engineering; and
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View All Vacancies Finance Location: Bailrigg, Lancaster UK Salary: £25,138 to £28,759 (Full time, indefinite) Closing Date: Sunday 12 May 2024 Interview Date: Thursday 16 May 2024 Reference: 0542-24 Please note: this job is only available to current employees of Lancaster University We are...
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modelling in biological, environmental, and ecological systems; areas of manufacturing and materials engineering; and network modelling and/or anomaly detection in cybersecurity applications. “MARS