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multidisciplinary team environment. Successful applicants will have experience in biomedical engineering, microfluidics, cell signaling and/or vascular biology. Our regenerative medicine program is a collaborative
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requires a doctoral (Ph.D.) degree in neuroscience, biomedical engineering, biology, physics, or a related discipline by the start date. Applicants with expertise in optogenetics, in vivo electrophysiology
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The laboratory of Dr. Daniel Hayes in Penn State's Department of Biomedical Engineering seeks to fill a Postdoctoral Scholar position. The successful
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engineering, biomedical engineering, physics, or other related field). Successful candidates for the role will have experience in data recording, curation, and analysis; be fluent in at least one programming
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rodents, a PhD in rehabilitation science, kinesiology, neuroscience, physiology, biomedical engineering, or a related field, and 4 years lab experience working with rodents. Previous experience with in vivo
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Medical Physics, Biomedical Engineering or a closely related field
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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University of Tennessee Health Science Center | Memphis, Tennessee | United States | about 20 hours ago
and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data
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field (e.g., neuroscience, biomedical engineering, medical physics). Proficient in image analysis, signal processing, and the application of statistical models, preferably in Matlab. Experience with