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Field
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
necessary. Previous experience with experiments involving human participants (particularly in decision making and / or teams), and statistical analysis of data is essential. Familiarity with agentic AI
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and machine-learning approaches. Established markers such as neurofilament light chain (NfL) and GFAP will provide a
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mammalian cell lines and primary cell cultures. Perform confocal imaging and data interpretation. Analyze experimental data using statistical software and prepare research reports. Manage laboratory resources
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer packages; names of two references
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, or Su Shin, Co-Evaluator, at [email protected] Responsibilities The Research Associate will work closely with the principal investigators and will be responsible for: Conducting statistical analyses
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degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
include (in one PDF uploaded to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer
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this additional qualification.-You have strong skills in statistical, econometric and quantitative data analysis and have experience with statistical software packages; furthermore, you are keen to develop
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, Mathematics/Statistics or a closely related subject PhD nearing completion in Computer Science, Engineering, Mathematics/Statistics or a closely related subject In addition for Research Associate A PhD awarded