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promote the advancement of reliable, safe biomedical technologies. May perform clinical and preclinical assessments. Typically requires a bachelor’s degree in engineering, mathematics, or related scientific
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Bloomington and scientific communities. Basic Qualifications Position requires a Ph.D. in Neuroscience, Biomedical Science or related field. Experience in either of the following techniques is required
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Icahn School of Medicine at Mount Sinai - Genetics and Genomic Sciences | New York City, New York | United States | 1 day ago
Professor level. Mount Sinai is ranked as one of the nation’s top biomedical institutions in research, patient care, and education, and was recognized as one of the most innovative data science organizations
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. Essential Duties Tests all equipment assigned to and under the jurisdiction of the Biomedical Engineering department. Repairs and verifies the correct function of all equipment assigned to and under
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Department of Biomedical Engineering Research Assistant (Ref. 260812001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “Research
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: Medicine | School Biomedical Sciences Neuroscience Job Description Research Associate who participates in planning, design, execution, and management of research projects in a foundational (basic) biological
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28 Sep 2026 Job Information Organisation/Company Lithuanian University of Health Sciences Research Field Medical sciences » Health sciences Researcher Profile Leading Researcher (R4) Positions Other
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of education and experience. Job Description: The Biomedical Informatics and Data Science Program (BIDS), hosted within the Department of Health Outcomes and Biomedical Informatics and closely affiliated with
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Infection and Immunity Department: Medicine | School Biomedical Sciences Microbial Infection and Immunity Job Description Research Technician 3 to assist and support scientific investigation to study
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of computational pipelines and reproducible workflows for the analysis of biological and biomedical data using deep learning techniques; • promotion of technology transfer and support for the University's research