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Health’s Department of Biostatistics is seeking a highly motivated postdoctoral research fellow to pioneer cutting-edge statistical and machine-learning approaches for the analysis and synthesis of diverse
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We would like to advertise up to three positions for Post-Doctoral Research Associates to work in information theory, quantum information theory, and statistical inference. These positions will be
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. in economics or related field at the time of appointment. Additional Qualifications SPECIFIC JOB SKILLS Strong quantitative background in econometrics or statistics. Demonstrated expertise (e.g
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Strong quantitative background in econometrics or statistics. Demonstrated expertise (e.g., publication) in economic history and labor economics. Experience working with large historical data sets. Strong
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 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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, GWAS, Mendelian randomisation, and other statistical and machine-learning techniques. The successful candidate will have research interests aligned with those of CBSGI and CEU. They will have the freedom
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
, 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
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at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory
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students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, or another
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. Candidates with proven expertise and experience in gravitational lensing including mass models and microlensing, astronomical data analysis, statistical methods, black hole theory, modeling, jet physics, and