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an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work on computational analysis, data integration and machine learning among other methods directed
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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work
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projects, which leveraging collaborations within the group and across Research & Development. Qualifications: You have a PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field
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SUMMARY: The incumbent will be an Administrator for the undergraduate academic programs behind both the Computational and Systems Biology as well as the Neuroscience Interdepartmental Programs (IDPs
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of experience/training in one or more of the following fields: computer science, engineering, computer information systems, or a related field. (Required) Bachelor's Degree in one or more of the following fields
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following fields: computer science, engineering, computer information systems, or a related field. (Required) Bachelor's Degree In one or more of the following fields: computer science, engineering, computer
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. Project Support: Assist interns in defining project scopes, setting goals, and developing strategies for successful project execution within the technology and commercial landscape. The internship program
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the physicians, staff, and all health providers. Performs phlebotomy, CPR, Injections, and other skills within scope of practice. Demonstrate proficiency in computer skills, Windows computer function, computer
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and Core Laboratory. Primary duties include: specimen processing; method development, modification and parallel testing; testing in chemistry, hematology, coagulation, immunoassay, and blood gases
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Cooperative Extension Office and will act as a valuable team member of the 4-H Youth Development Program (4-H YDP). 4-H YDP is the largest youth-serving organization in the U.S. Our focus is to provide positive