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Field
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International Science Partnership Funded project “Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray Characteristics”. About You The successful applicant will have, or soon obtain, a PhD
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compliance with high standards, and to actively supervise the less experienced. An ability to interact and learn is crucial. Candidates should hold a PhD, or have successfully submitted, a PhD thesis, working
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opportunity to make a major impact on future RF device technology. Applicants should have postgraduate (PhD) experience in Physics, Materials Science or Engineering, with a good publication record. The position
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should have a track record in wet-lab cell biology and possess a PhD in a relevant discipline. Prior experience of working with organoids and/or in respiratory disease research would be an advantage, but
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runs an enormous amount of social groups and sports clubs for those looking for more than just a great place to work. About you Applicants should hold a PhD/DPhil or be near completion of a PhD/DPhil in
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to different audiences at national and international conferences. The post-holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics or a related field
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editing strategies and to select disease variants. Applicants should hold a relevant PhD (or be close to completion - thesis submitted at time of application) in Computational Biology, Bioinformatics
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track record in wet-lab cell biology and possess a PhD in a relevant discipline. Prior experience of working with organoids and/or in respiratory disease research would be an advantage, but training will
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. About you You will hold a PhD/DPhil or be near completion of a PhD/DPhil in a relevant subject and possess sufficient specialist knowledge in the discipline to work within the established research
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of trophoblast cells and organoids, as well as molecular cloning to generate CRISPR-Cas9 genome editing constructs. Applicants should hold (or be near completion of) a PhD in a relevant area of biological