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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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and device characterisation is essential. A PhD in silicon photonics is desirable. A proven track-record in leadership and managing a team and demonstrated experience in establishing a technology
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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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large consortia) project management and photonics device design, mask layout and device characterisation is essential. A PhD in silicon photonics is desirable. A proven track-record in leadership and
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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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contributing to a supportive team environment. In this role, you’ll also help train and support researchers and PhD students, so strong communication and mentoring skills will be a plus. The initial appointment
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, quality and cost. To be successful it is essential you have a PhD or equivalent professional qualifications with experience of working in a laboratory and in materials testing. Working at the University
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in our public engagement and outreach activities and developing and delivering our educational activities. Applicants must have a PhD, equivalent professional qualifications or experience, the ability
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you You will have a PhD (or be nearing completion) in politics, political theory or a cognate discipline, have a growing reputation in the field, and possess the ability to plan, manage, organise and
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skills and a PhD in Film, Media, or Creative and Cultural Industry studies and other related areas at time of application, with knowledge and experience of media industry studies. Knowledge and expertise