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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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, 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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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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Up to 3 positions are open for Postdoctoral Research Assistants/Associates as part of an ERC awarded project funded by UKIR at the University of Cambridge in the group Catalysis and Process
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the application process, please email [email protected] . Please quote reference PT41826 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and
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date. If you have any questions about this vacancy Prof Tim Coombs [email protected] for technical queries or for the application process, please contact: Sue Murkett, Electrical Engineering Div
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vacancy Prof Tim Coombs [email protected] for technical queries or for the application process, please contact: Sue Murkett, Electrical Engineering Div-administrator email [email protected] (Tel +44 01223
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A position exists for a Post-Graduate Research Assistant (PGRA) or Post-Doctoral Research Associate (PDRA) in the Department of Applied Mathematics and Theoretical Physics to work on verified
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
. The successful candidate will hold (or be close to obtaining) a PhD in Physics, Theoretical or Computational Chemistry, Materials Modelling (or closely related disciplines), with a proven track record in
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should consider whether this conflicts with your personal values or beliefs. We will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals