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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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research technicians, PhD students, postdoctoral research fellows and clinical research fellows focused on NK cell research and will gain cutting-edge skills in immunology and cancer research. Significant
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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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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-quality
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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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the acoustics profession. We have excellent experimental facilities including a large 6-axis motion simulator and a suite of acoustic chambers. You will have a PhD or equivalent experience in structural dynamics
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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