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                of using technology in clinical practice, understanding the mechanisms of recovery and changes in neurophysiology after novel rehabilitation intervention. The position is located at the Rehabilitation 
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                rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical 
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                injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical rehabilitation. GF Strong Rehab Centre is situated in 
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                Salary Range: 64,000-68,000 Appl Deadline: none (making offers posted 2025/09/22) Position Description: Position Description The Planetary Habitability & Technology Lab in Cornell’s Center 
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                background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The 
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                your cover letter, including which Shima Seiki machine you operated, how long have you worked with the machine, and for what purposes/projects, PhD degree in Computer Science, Electrical Engineering 
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                Apply now Job no:535814 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Human Physiology, Engineering/Biomedical Engineering Department 
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                9770BR College of Science COS Thomas H Gosnell School of Life Sciences Job Summary The College of Science at the Rochester Institute of Technology is seeking a candidate for a Post-Doctoral 
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                the neurorehabilitation industry to understand current standards of practices. Qualifications Required Qualifications: ● PhD degree in Mechanical Engineering, Biomedical Engineering or related fields. ● Competence in 
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                , how long have you worked with the machine, and for what purposes/projects, · PhD degree in Computer Science, Electrical Engineering, Information Science, Mechanical Engineering, Human-Computer