21 statistics "MIT" research jobs

Research Fellow, Blueprint Labs

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

Research assistant - Generative AI in production

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

Postdoctoral Associate

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

Postdoctoral Researcher positions in Statistical/Generative AI applications in genetics

: 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

Research assistants - National Centre for Register-based Research, Aarhus University

The National Centre for Register-based Research (NCRR) seeks to hire one or more research assistants for projects focused on psychiatric epidemiology and statistical genetics. NCRR is part of Aarhus

Postdoctoral scientists in psychiatric epidemiology and/or statistical genetics - National Centre for Register-based Research, Aarhus University

University, a leading international research group investigating psychiatric epidemiology and statistical genetics. The Centre has a strong track record in collaboration with other Danish researchers and with

Post-Doctoral Research Associate

grammar in embryogenesis and cancer development (please visit https://labs.utdallas.edu/caolab for more details). You will ideally have a strong background in bioinformatics and statistics and prior

Post Doctoral Scholar

with collaborators across institutions (OSU, University of Pittsburg, MIT, McGill University, University of Guelph, and University of British Columbia) but will be physically based full time at

Postdoctoral Associate, Global Health Engineering

, statistical, problem-solving; and written and verbal communication skills; ability to convey complex technical concepts to non-technical audiences; ability to work effectively both independently and as part of

Postdoctoral Research Associate

collaborators on these projects, including Pawan Sinha at MIT, Alireza Ramezani at Northeastern, Joo-Hyun Song at Brown University, and David Lin at Massachusetts General Hospital. The research is supported by