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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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and industrial partners, you will deliver models and tools that enhance the stability and reliability of future low-inertia power systems. What we are looking for You must have a PhD in Electrical
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independence within a research/professional environment or alternatively possess professional qualifications and experience equivalent to PhD level plus the requisite experience. Skills Essential: C1: Strong
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deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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the Virginia Tech team. The appointee is expected to take an active role in the collaboration with the project partners, as well as in the collaboration with and mentoring of PhD students. The successful
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of Human, Social and Political Science. BSPP has an ambitious growth plan including launching an M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD
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. Desirable B1 A recently awarded or recently submitted or near completion PhD. Skills Essential: C1 Proven knowledge of project-specific methods, e.g. ecological momentary assessment, patient-reported outcomes
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Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus