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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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neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field. Preference will be given to candidates with: previous experience in
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on shortlisting. If you consent to take part in the study the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told
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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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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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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