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represent the project at relevant conferences and events. You will manage a small team to develop a Process Design Kit (PDK) and characterise graphene on silicon photonics chips. You will work with the
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complex processes, analyse and interpret business information and support local governance committees. Demonstrate excellent verbal and written communication skills and well as up-to-date MS Office skills
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) cell activation against blood cancer and is expected to identify novel therapeutic strategies to improve the outcome for patients. You will be part of a team of research technicians, PhD students
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including a large 6-axis motion simulator and a suite of acoustic chambers. You will have a PhD or equivalent experience in structural dynamics and vibration, and an impressive publication record in high
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-holder will have the responsibility for communicating complex information effectively to clinical scientists and non-statisticians. You will have an MSc or PhD in Statistics, and experience or an interest
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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pathways. You will also contribute to a future i4i application and help prepare dissemination materials for NHS and industry audiences. About you You will hold a PhD* or equivalent professional qualification
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: Learning and implementation of project and commercial management tools and techniques. The successful AI engineer will have the following skills, experience and attributes: PhD or equivalent professional
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events, managing financial processes, and driving process improvement initiatives will be key to success in this role. You will be confident in managing multiple priorities and delivering impactful
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work as part of the NCRM team. Applications for this position will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Lecturer will