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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results)* Excellent knowledge of robot kinematics and dynamics
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or 2nd class hons degree in computer science, biomedical engineering, physics, mathematics or related subject PhD qualified in computer science, biomedical engineering, physics, mathematics or related
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. This project aims to investigate innovative mechanisms to enhance the survival and functionality of beta cells derived from iPSCs following transplantation. Candidates should hold a PhD in Stem Cell-related
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PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following areas will be valued: logic in computer science, database theory, finite model theory
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results)*. 1st or 2nd class honours degree Experience with MR
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researchers and from current PhD students nearing the completion of their PhD. Applicants must have submitted their PhD by the time they take up the post. All applications should include: 1) a cover letter; and
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responsibilities as may reasonably be expected within the scope and grading of the post. Skills, knowledge, and experience Essential criteria 1. PhD plus equivalent experience in a relevant field, for example
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(depending on start date). About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Hold, or be near completion of, a PhD
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researcher, appointed to start at the same time. Research Assistant 1 The successful candidate will have a BSc, MSc or PhD in a relevant biomedical sciences subject and be familiar with human stem cell (ES
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mouse models aimed at understanding human anatomical anomalies. Research Aims The postholder will work closely with Prof Karen Liu, postdocs, technicians and PhD students within the Liu lab and NMGN https