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measurements in nanostructures, on quantum dots, fast switching, plasmonics, and molecular electronics. Job requirements: You will be close to obtaining a strong physics PhD, with experience in optical
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Science, Statistics, Physics, Hydrology, or Information Engineering At least one first authored publication in a referred journal Strong record of productive and creative research, demonstrated by
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. Applicants must have (or be about to receive) a Bachelor or Masters' Degree in Physics, Chemistry, Materials Science, or a related subject. The ideal candidate will have experience in code development and/or
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related to the application process, please contact Jemma Cosbey ([email protected] ) Please quote reference NM41947 on your application and in any correspondence about this vacancy. The University
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, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine. A strong academic track record and programming skills are essential. Experience with machine learning, data science
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about this vacancy or the application process, please contact Bet Fowler by email [email protected] . Please quote reference NM41890 on your application and in any correspondence about this vacancy
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considered. If you have any questions about the application process please contact the Faculty of Education HR team ([email protected] ) Please can you upload a letter of application indicating how
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with epitaxially grown III-V films using planar device process techniques. You will characterise the performance of these devices using precision optical and electrical measurements including dark IV
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be directed to Dr Jones at [email protected] . For questions regarding the application process, please email [email protected] . Please quote reference PT41972 on your application and in
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to Dr Jones at [email protected] . For questions regarding the application process, please email [email protected] . Please quote reference PT41981 on your application and in any