11 phd-in-architecture-and-built-environment Postdoctoral positions at Heriot Watt University
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of intellectual property and technology transfer. Supervising the activities of junior group members and mentoring PhD students. Assisting in the day-to-day maintenance of the experimental facilities, liaising with
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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jointly led by several principal investigators. Our facilities include over 200 m2 of laboratory space and a large range of primary ultrafast laser sources, ranging from home-built fibre oscillators
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and retain the very best newly qualified doctoral (e,g PhD, EngD) students, and help them launch careers in research. The Fellowships target the top 10-15% of EPSRC-funded students. All Fellowship
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research progress through formal and informal reports and communications. Undertake additional duties as reasonably requested by project leaders, commensurate with the role. Essential Criteria A PhD (or near
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. Supervising the activities of junior group members / PhD students. Education, Qualifications and Experience Essential Criteria Applicants must have: A PhD in physics or engineering or related discipline, or
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and water monitoring protocols; and/or other application areas where pathogen concentration is an important element, e.g. healthcare, biotech, aquaculture, food and drink PhD in relevant discipline (or
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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papers; presentation of research at conferences. Assist the development of student research skills, and be expected to contribute to the assessment of student knowledge (particularly PhD students) in
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the development of principled, mathematical tools. Such tools need to be able to handle a variety of working environments (e.g., dynamic environments), input data (from traditional frame-based data to non