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into practical performance solutions. The “Travel, sleep and fatigue optimal management for long-haul performance” PhD programme will focus on mitigating circadian and travel fatigue challenges associated with
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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. You are therefore strongly advised to sit an approved English Language test as soon as possible. Your IELTS test must still be valid when you enrol for the programme. They are valid for 2 years. For any
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or environmental subject or a relevant Masters qualification. If your first language is not English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with
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on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Applications should include a Curriculum Vitae, contact information
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). Related projects include: UK Hub for Quantum-Enabled Position, Navigation and Timing (QEPNT) –Glasgow led. EPSRC Programme Grant– Chip-Scale Atomic Systems for a Quantum Navigator. STFC-NSERC UK-Canada
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score of 6.5 (at least 5.5 in all sub-skills) or equivalent language qualification. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior
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/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
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Environmental Physiology or Biological Sciences. A relevant master’s degree is desirable but not essential. English language requirements: Applicants must meet the minimum English language requirements. Further
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and computational abilities • Demonstrate excellent programming ability in languages such as MATLAB or Python • Excellent communication skills across multiple disciplines • Excellent academic