41 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Massachusetts Institute of Technology
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deployment of machine-learning models for studying aspects of tumor evolution; keeping detailed code and analysis notebooks, and records of plans and progress; giving journal club and lab progress
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its academic programs; under minimal supervision, assist students building course related projects using rapid prototyping machines and related activities emphasizing electronics; instruct students
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systems or an equivalent military training program; experience integrating and repairing electro-mechanical systems and equipment; familiarity with machine shop equipment and tools; general mechanical
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of experience in accounting or finance or equivalent; strong communication, analysis and organizational skills; ability to learn changing technologies related to grants and contracts management; knowledge
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; ability to manage multiple projects with confidentiality and discretion; and a high level of computer competency required, including Word, Excel, and PowerPoint. PREFERRED: MBA/MS, in a technical
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maker-space development/maintenance to facilitate a future application to graduate school. Will develop the capabilities for neutron activation methods, including data analytics (including machine
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written skills (including spelling, punctuation and grammar); proven ability to prioritize tasks and handle several different projects/tasks at one time; experience with computer applications and comfort
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postdoctoral associates, technicians, and undergraduate students, and offers a hands-on role in a fast-paced and innovative setting. Job Requirements REQUIRED: Bachelor’s degree in electrical/computer/mechanical
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, airplane, and other engines and machines; completely overhauls and repairs such machines, operates and tunes them to obtain the best operating conditions; assembles and constructs laboratory apparatus
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant