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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 10 days ago
Details Posted: 11-May-24 Location: Cambridge, Massachusetts Type: Full-time Salary: Open Categories: Healthcare Staff/Administrative Internal Number: 24016 Job Description MEDICAL TECHNOLOGIST, MIT
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 13 days ago
for someone who is graduate school bound. Job Requirements REQUIRED: high school diploma or its equivalent, exposure to a research laboratory, an interest in biology, and the ability to work independently and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 15 hours ago
, biological assays, controlled release, biomaterials, chemistry, protein stability, molecular biology, immunology, and/or virology; and experience working with animals. Job #24055 A two-year commitment is
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
SENIOR RESEARCH SUPPORT ASSOCIATE, Biology, to join Gene-Wei Li's lab and provide technical assistance to high-throughput genomics projects and computational analysis. Primary responsibilities will
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 10 days ago
precision genome engineering technologies and single cell genomics to study cancer evolution. The main responsibilities of the technical associate will be to perform standard wet-lab and biology experiments
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 21 days ago
./B.A. in biological science (e.g., biology, biochemistry, biotechnology, or related field); at least two years' specialized lab experience (may include experience acquired as an undergraduate), with
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McGowan), and Locomotor Control lab (PI James Finley) at USC, the Seethapathi Motor Control group at MIT (PI Nidhi Seethapathi), and the Nishikawa Biomechanics lab at Northern Arizona University (PI Kiisa
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/ ) at the Dana-Farber Cancer Institute (DFCI) and Harvard Medical School. We use interdisciplinary approaches at the interface of genomics and molecular biology to understand the mechanisms of human disease, with
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. While this position requires a computational biology, data science and machine learning background, applicants are highly encouraged to apply even if they don’t have all the preferred qualifications