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tools. The starting salary for this role is fixed at Grade 7, Spine Point 31 (£44,480, inclusive of London Allowance). This role is an open-ended contract with a funding duration of 12 months in the first
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addition to annual leave, the Research Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure Application should be submitted online
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question(s) and a reasoning of the choices. It should also indicate the methodologies to be used. The final project description will be developed in cooperation with the supervisor. Template for project
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., LabVIEW, Matlab, etc.) Knowledge of signal processing and advanced statistics 1-year position with possibility of extension Michigan Medicine conducts background screening and pre-employment drug testing
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robotics, cybersecurity, sensing and signal processing, smart mobility and energy systems. In addition, they are using their expertise in interdisciplinary research initiatives across the university. We
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Able to work independently and as part of a collaborative team Programming experience (e.g., LabVIEW, Matlab, etc.) Knowledge of signal processing and advanced statistics Work Locations Burlington
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Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Midwest@orau.org and include the reference code for this opportunity. Qualifications
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integrated system, CNTs serve as the sensing elements, while necessary signal processing can be performed directly on-chip by the CMOS circuitry. The ultra-sensitive CNT-based sensors can be utilized in
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, as well as from candidates with pure research backgrounds. This job will be at a grade 7 spinal point 32 (£45,622 including London Allowance). About you We are seeking expertise in product and business
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of predictive AI models using multimodal data (e.g. time-series signals, neuroimaging, clinical records) for healthcare applications. Contribute to the development of a Digital Twin of the brain's motor system