36 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description DIRECTOR, RESOURCE DEVELOPMENT, Open Learning, will lead the strategy and execution of philanthropic fundraising for MIT Open Learning. Reporting to the Vice Provost for Open
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Posting Description DIRECTOR, OPEN LEARNING VIDEO, Open Learning, will direct the development of a wide range of multimedia content necessary for Open Learning units to meet their business goals
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
economics, finance, business analytics or related fields. They will also gain valuable experience analyzing large data sets and learning skills in machine learning, big data, econometric methods and working
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, machine learning and surrogate modeling; and presentation skills and proven research independence. Application material should include a cover letter, CV, and the names and contact information of three
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cooperation among teams; experience in budget management, project management, time management and planning skills; proven problem solving and organizational skills; and robust computer experience with Microsoft
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
organizational and communication skills; strong administrative computer skills (MS Word, FileMaker, Excel, PowerPoint); ability to coordinate and prioritize multiple demands, and deal with confidential information
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developing computational infrastructure, designing machine learning segmentation and classification pipelines, creating visualization and UI tools, processing, storing, and disseminating large datasets, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
neoclassical tearing modes in metal-wall scenarios; support the creation and validation of machine learning (ML) and hybrid physics + ML models to monitor and control the proximity to stability boundaries
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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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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Requirements REQUIRED: Ph.D. in Atmospheric science, Civil and Environmental engineering, mechanical engineering, or a related field; knowledge of and demonstrated skillset in physics-informed machine learning