11 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Heriot Watt University
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engagement activities of the project, liaising with industry partners and potential end-users of the technology Identify appropriate sources of funding and help prepare proposals for funding bodies and
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applications, all of which are supported by strong external funding. We have around 150 full-time academic staff who drive this research activity and are based in 5 research institutes: the Institute of Chemical
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have proven academic ability and a demonstrable high level of technical competence in computational data science and the analysis / modelling of the results. Theoretical or experimental experience of in
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Sciences Energy, Geoscience, Infrastructure and Society Mathematical and Computer Sciences Social Sciences Textiles and Design The Opportunity EPSRC Doctoral Prize Fellowship roles are funded by
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-leading research. Education, Qualifications and Experience Essential A PhD in physics or engineering with a specialisation in ultrafast nonlinear optics and/or ultrafast spectroscopy, or extensive
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flexible within 2025. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a related
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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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to other researchers. Contribute to teaching responsibilities as required. Contribute to developing follow-on research proposals and grant applications for future project funding. Regularly report
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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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research centre (Hub) funded by EPSRC for a 5-year research programme into Integrated Quantum Networks (IQN). The IQN Hub is supported by an initial £21.8M award from UKRI and additional industrial support