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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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) or equivalent qualifications PhD (or near to completion) in relevant subject area (structural biology or biophysics) Proficiency in at least one of these techniques (e.g., single-particle electron microscopy, NMR
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. Key characteristics: Relevant academic credentials, including a PhD in a related field (international relations, war studies or similar) and specialist knowledge of WMD proliferation, doctrine, policy
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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We also expect: Teaching experience / experience with e-learning Experience
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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability
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of career. Experience in using qualitative data analysis computer software such as NVivo would be an advantage. Skills 13. Demonstrable ability to plan and manage research, both independently and as part of a
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help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience relevant to the post. It is also
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud