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range of techniques (both invasive and non-invasive). Much of our work borrows ideas from brain-computer interface/neural prosthetic technologies. This posting is for a support/cross project role. You
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: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University. Detailed Description The Programme Grant ‘New Directions in Molecular
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of composite materials, interface design, fracture mechanics, contact and friction, tribology, damage tolerance and reliability of layered materials, machining of metals and composites. 2. Fluid Mechanics and
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. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star . We welcome candidates whose experience in teaching, research, or community service has prepared them
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Future and current OSU employees can use the Benefits Calculator to learn more about the
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critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Future and current OSU employees can use the Benefits Calculator to learn more about the
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, mass spectrometry, electrochemistry and inline analysis welcome as is an interest or experience in theory, programming or computation. For appointment at grade 8 some post doctorial experience in
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role in a multi-project, large state-wide program to assess the population impact of real-world cervical cancer prevention including screening interfaces to HPV diagnostics and vaccination in New Mexico
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
disrupted by neurological disorders and injuries. The lab uses high-density neurophysiology (Neuropixels), high-density spinal stimulation, brain-spine interfaces, computational modeling, computational