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Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative
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energy, nanotechnology and applied materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered
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research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced
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, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility This studentship is suitable
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the employer issues a non-renewal statement after a maximum of 12 months. An extension to four years is possible subject to mutual satisfaction and work progress. Your future tasks: The post has two components
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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platforms, and/or those proposing to use quantitative/computational methods will be given preference. Applicants are also encouraged to think about the societal impact of their research, and for example
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materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's
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temperature stability and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete