44 statistics-"MIT" positions

PhD Student – Medical Informatics (m/f/d)

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

Epidemiologist / Data Scientist (m/f/d)

tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies

PhD: Developing Scalable Multiple Imputation Routines for Longitudinal Data

? Then this is the PhD position for you. Your job The department of Methodology and Statistics has a job opening for a PhD candidate. In this position, you will develop novel statistical algorithms

PhD student in visualization with a focus on collaborative design

science fields and methods; or statistical methods, especially as related to computational simulations. The research will require competence in developing interactive visualization tools: interested

Postdoctoral Scholar in the Neuromuscular Mechanics lab

James Finley), the Seethapathi Motor Control group at MIT (PI Nidhi Seethapathi), and the Nishikawa Biomechanics lab at Northern Arizona University (PI Kiisa Nishikawa), among others. The IMSI

Instructor, CE Workforce-Health Professions Institute (HPI)

related field (preferred). Other Requirements Current Texas Nursing License, without stipulations as an RN, or current certification as CMA, RMA, MIT, or relevant healthcare field. Valid Texas Driver's

Post-Doctoral Fellow

others. Test specific hypotheses about differences observed across different pediatric cancer subtypes using basic statistics. Present at monthly data analysis workstream meetings with a larger group of

Postdoc/Research Associate at NYU in Machine Learning/Scientific Computing for high-dimensional systems

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

Academic Advisor II

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

Doctoral students in learning and optimization for edge computing

and Software Program and in Digital Futures . We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others. For more informatio Supervision: Prof