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, and risk assessments. Gather supporting qualitive date on community perceptions and expectations in sites where the cooling hub has been deployed and where it will be deployed Ensure active engagement
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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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. 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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The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students Responsibilities will also include assistance in
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projects Contribute to the organisation of local seminars or workshops as necessary Education, Qualifications and Experience The ideal candidate will have the following skills and experience: Essential: Hold
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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oversight of the activities of postgraduate and undergraduate project students in the laboratory; communication with other investigators involved in this collaborative project; preparation of scientific
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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