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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 23 days ago
SYSTEMS (GIS) AND STATISTICS LIBRARIAN, MIT Libraries, to support the MIT community by providing GIS and statistical software services, instruction, and consultation as part of the GIS and statistical
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
, faculty, and center staff on program and MIT requirements. Will monitor curriculum changes, oversee the maintenance of graduate administration content on the MIT SCALE website, help develop and disseminate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 4 days ago
the EU Research Framework Programme? Not funded by an EU programme Reference Number 2022.15504.MIT Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
science, mathematics, statistics, or a related field; at least two years of specialized experience with quantitative data analysis, research methods, and/or social sciences research (which may include coursework
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of machine learning and statistics - Implement and test generative AI in cooperation with industrial partners - Publish results at scientific conferences Was Sie mitbringen Requirements: - Strong master's/PHD
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
from MIT, other universities, national laboratories, and private industry; and ability to work in a dynamic, fast-paced team-oriented environment. PREFERRED: experience with advanced statistical tools
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: The Statistical Genetics postdoc will be working with Dr. Dey and Dr. Rahul Mazumder from MIT and other collaborators from MSKCC, Columbia University, Stanford University, and Harvard T.H.Chan School of Public
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goal of this project is to develop machine learning techniques to improve climate change simulations. M²LInES is composed of more than 30 scientists at NYU, Columbia, MIT, Princeton, GFDL, NCAR and CNRS
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statistics and evaluating advisees' chances of obtaining admission. Assisting advisees with the law school application process, inclusive of personal statements, letters of recommendation, and taking the LSAT