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of society they came, b) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will
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the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a four-part database, corresponding
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spectroscopic data; publish and disseminate their results. You will have the opportunity to teach. Applicants should have a PhD (or close to completion) in Astronomy/Astrophysics or a related field and ideally a
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will work on advanced brain-machine interfaces and non-invasive stimulation systems, integrating real-time behavioural and brain activity monitoring to deliver closed-loop interventions. This role offers
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signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff .
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relevant industrial experience within at least two of the below: i. Programming in Python or Matlab ii. Sleep studies and analysis of sleep data iii. EEG analysis (ERPs and Time Frequency) iv. Machine
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are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information For further information. please contact Professor Gordon Brown, email Gordon.brown
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using human samples such as blood, saliva and tonsils. Our research group encourages a culture of scientific curiosity and learning, with regular meetings to present and discuss data. You would be
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techniques, basic QC approaches) and a willingness/ability to learn new methods quickly and to troubleshoot. You will have experience of following and adapting protocols and selecting appropriate experimental
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: Essential criteria Be enrolled in or hold a first degree in biomedical engineering, robotics, or relevant discipline. Possess sufficient specialist knowledge in computer aided design, systems integration, and