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PhD in chemistry, bioengineering/biomedical engineering, chemical engineering, electrical engineering, physics, or similar fields. Bioengineering Postdoctoral Fellow. The successful applicants will gain experience in the design, microfabrication, and experimental characterization/testing of novel bioanalytical tools and application to high-impact biological and biomedical questions in partnership with multidisciplinary collaborators.
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M.S. in biomedical engineering, bioengineering, neurosciences, or a related field. Ph. D. in biomedical engineering, bioengineering, neurosciences, or a related field. Experience in large preclinical models (canine, ovine, or equivalent) and/or non-human primate neurosurgery in a research setting.
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Candidates will hold a Ph. D. degree in Bioengineering, Biomedical Engineering, Chemical Engineering, or closely related engineering fields. The Department of Bioengineering at the University of California Merced invites applications for the position of tenure track Assistant Teaching Professor to coordinate and teach undergraduate and graduate courses in all areas of Bioengineering with an anticipated start date of July 1, 2024.
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Provide bioengineering resources to manage medical equipment planning for construction projects involving biomedical equipment at all sites requested. Provide bioengineering resources to review the maintenance capital submittals for biomedical equipment at all sites as requested.
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Specialists appointed at the Junior rank must possess (or in process of obtaining) a Bachelor degree (or equivalent degree) in Molecular Biology, Biochemistry, Bioengineering, or related field or four years of relevant research experience.
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The ideal candidate should have 2-4 years of relevant experience and a strong educational background in biotechnology, cell or molecular biology, bioengineering, or biochemistry. Ph. D. or Master's degree in biotechnology, cell or molecular biology, bioengineering, biochemistry, or a related field.
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Bachelors or masters Degree in Biochemistry, Bioengineering, Cell Biology, Molecular Biology or a related subject area with 1-2 years industrial experience. Support antibody expression construct generation by molecular cloning, DNA sequencing, and plasmid DNA purification.
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PhD in a relevant domain [Immunology, Computational Biology, Structural Biology, Bioengineering, Bioinformatics, or similar] with 3+ years of industry experience preferred. PhD in a relevant domain [Immunology, Computational Biology, Structural Biology, Bioengineering, Bioinformatics, or similar] with 3+ years of industry experience preferred.
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Provide bioengineering resources to offer initial inspections and acceptance testing for acquisition of biomedical equipment. Provide bioengineering resources to conduct pre-purchase evaluations, research vendors, assess cost of ownership, and other activities in support of biomedical equipment acquisitions.
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The Gifford and Engreitz Laboratories are located in the Biomedical Innovations Building on the main campus at Stanford University and are members of the BASE Initiative in the Betty Irene Moore Children’s Heart Center, a collaboration with Drs. Mark Skylar-Scott (Dept of Bioengineering) and Marlene Rabinovitch (Dept of Pediatrics.
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M.S. in systems engineering, Computer science, Information Systems, Bioengineering, Chemical Engineering, or a related field with no less than 5 years’ experience in a relevant industry or PhD with academic experience in a related field.
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Doctoral (PhD) degree in bioengineering, 4+ years of experience in computational biology for immuno-oncology applications (academic experience during PhD is counted). We are currently looking for a computational cancer biologist in the field of immuno-oncology to join our interdisciplinary team.
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The incumbent will carry out cell culture/bioengineering experiments supporting the key research projects in the lab including development/applications of the Next-Generation Lung-on-a-Chip and ECM MV-Chip technologies as well as various aspects of the Down syndrome pathophysiological modeling including using Vascular-on-Chip microfluidic device.
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The Research Scientist will combine stem cell culture and differentiation with bioengineering, microfluidics, and pre-clinical animal models to build next-generation models of human kidney regeneration and disease.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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