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will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields. KNOWLEDGE, SKILLS AND ABILITIES
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: Master’s degree in computational biology, computer science, biomedical engineering, genomics or any related subject/area EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field
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knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs
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multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop
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future potential across the broad field of materials science and engineering. We particularly encourage applications from candidates who have interests in the topics of computational materials science
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, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop
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to communicate well with other scientists worldwide • Candidate should have 3+ years research experience in immunology; additional background in computational biology, cancer biology, and/or molecular biology
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to think critically and carry out experiments independently is required. Background in mechanical engineering, biomedical engineering, bioengineering, computer science or related quantitative and or health
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skills in field of science related to research project. · General computer skills and ability to quickly learn and master computer programs. · Strong analytical skills and excellent judgment
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A laboratory in the Genetics Department at Stanford University School of Medicine seeks a talented and energetic Life Science Research Professional 1 to investigate cell-cell interactions in