16 atomic-physics Postdoctoral positions at University of Cambridge in United Kingdom
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for MEG, and knowledge of the field of intelligence, top-down control, selective attention, and frontoparietal cortex. The post holder will be encouraged to lead their own programme of research and to share
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and dicots, and experience with molecular cloning techniques. The successful candidate will be able to lead their own research and work with collaborators to pursue multiple lines of enquiry. To apply
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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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Howarth [email protected] . If you have any questions about this vacancy or the application process, please contact the HR team ([email protected] ). Please quote reference PL41712 on your application and in
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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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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