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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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. Teamwork & Collaboration Work alongside postdocs, PhD students, and collaborators to deliver project goals. Provide flexible support across experimental workflows as needed. About You Knowledge, Experience
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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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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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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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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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-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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: 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